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t.me/xtekky 2023-04-30 23:30:31 +01:00
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FROM python:3.10
RUN apt-get update && apt-get install -y git
RUN mkdir -p /usr/src/gpt4free
WORKDIR /usr/src/gpt4free
# RUN pip config set global.index-url https://mirrors.aliyun.com/pypi/simple/
# RUN pip config set global.trusted-host mirrors.aliyun.com
COPY requirements.txt /usr/src/gpt4free/
RUN pip install --no-cache-dir -r requirements.txt
COPY . /usr/src/gpt4free
RUN cp gui/streamlit_app.py .
EXPOSE 8501
CMD ["streamlit", "run", "streamlit_app.py"]

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You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
<program> Copyright (C) <year> <name of author>
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License. Of course, your program's commands
might be different; for a GUI interface, you would use an "about box".
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
<https://www.gnu.org/licenses/>.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<https://www.gnu.org/licenses/why-not-lgpl.html>.

152
README.md ノーマルファイル
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@ -0,0 +1,152 @@
##### You may join our discord server for updates and support ; )
- [discord.gg/gpt4free](https://discord.gg/gpt4free)
<img width="1383" alt="image" src="https://user-images.githubusercontent.com/98614666/233799515-1a7cb6a3-b17f-42c4-956d-8d2a0664466f.png">
Just API's from some language model sites.
## Legal Notice <a name="legal-notice"></a>
This repository uses third-party APIs and is _not_ associated with or endorsed by the API providers. This project is intended **for educational purposes only**. This is just a little personal project. Sites may contact me to improve their security.
Please note the following:
1. **Disclaimer**: The APIs, services, and trademarks mentioned in this repository belong to their respective owners. This project is _not_ claiming any right over them.
2. **Responsibility**: The author of this repository is _not_ responsible for any consequences arising from the use or misuse of this repository or the content provided by the third-party APIs and any damage or losses caused by users' actions.
3. **Educational Purposes Only**: This repository and its content are provided strictly for educational purposes. By using the information and code provided, users acknowledge that they are using the APIs and models at their own risk and agree to comply with any applicable laws and regulations.
## Table of Contents
| Section | Description | Link | Status |
| ------- | ----------- | ---- | ------ |
| **To do list** | List of tasks to be done | [![Link to Section](https://img.shields.io/badge/Link-Go%20to%20Section-blue)](#todo) | - |
| **Current Sites** | Current websites or platforms that can be used as APIs | [![Link to Section](https://img.shields.io/badge/Link-Go%20to%20Section-blue)](#current-sites) | - |
| **Best Sites for gpt4** | Recommended websites or platforms for gpt4 | [![Link to Section](https://img.shields.io/badge/Link-Go%20to%20Section-blue)](#best-sites) | - |
| **Streamlit GPT4Free GUI** | Web-based graphical user interface for interacting with gpt4free | [![Link to Section](https://img.shields.io/badge/Link-Go%20to%20Section-blue)](#streamlit-gpt4free-gui) | - |
| **Docker** | Instructions on how to run gpt4free in a Docker container | [![Link to Section](https://img.shields.io/badge/Link-Go%20to%20Section-blue)](#docker-instructions) | - |
| **ChatGPT clone** | A ChatGPT clone with new features and scalability | [![Link to Website](https://img.shields.io/badge/Link-Visit%20Site-blue)](https://chat.chatbot.sex/chat) | - |
| **How to install** | Instructions on how to install gpt4free | [![Link to Section](https://img.shields.io/badge/Link-Go%20to%20Section-blue)](#install) | - |
| **Legal Notice** | Legal notice or disclaimer | [![Link to Section](https://img.shields.io/badge/Link-Go%20to%20Section-blue)](#legal-notice) | - |
| **Copyright** | Copyright information | [![Link to Section](https://img.shields.io/badge/Link-Go%20to%20Section-blue)](#copyright) | - |
| **Star History** | Star History | [![Link to Section](https://img.shields.io/badge/Link-Go%20to%20Section-blue)](#star-history) | - |
| **Usage Examples** | | | |
| `theb` | Example usage for theb (gpt-3.5) | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](gpt4free/theb/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) |
| `forefront` | Example usage for forefront (gpt-4) | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](gpt4free/forefront/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) | ||
| `quora (poe)` | Example usage for quora | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](gpt4free/quora/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) |
| `you` | Example usage for you | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](gpt4free/you/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) |
| **Try it Out** | | | |
| Google Colab Jupyter Notebook | Example usage for gpt4free | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DanielShemesh/gpt4free-colab/blob/main/gpt4free.ipynb) | - |
| replit Example (feel free to fork this repl) | Example usage for gpt4free | [![](https://img.shields.io/badge/Open%20in-Replit-1A1E27?logo=replit)](https://replit.com/@gpt4free/gpt4free-webui) | - |
## Todo <a name="todo"></a>
- [x] Add a GUI for the repo
- [ ] Make a general package named `gpt4free`, instead of different folders
- [ ] Live api status to know which are down and which can be used
- [ ] Integrate more API's in `./unfinished` as well as other ones in the lists
- [ ] Make an API to use as proxy for other projects
- [ ] Make a pypi package
## Current Sites <a name="current-sites"></a>
| Website s | Model(s) |
| ------------------------------------------------ | -------------------------------- |
| [forefront.ai](https://chat.forefront.ai) | GPT-4/3.5 |
| [poe.com](https://poe.com) | GPT-4/3.5 |
| [writesonic.com](https://writesonic.com) | GPT-3.5 / Internet |
| [t3nsor.com](https://t3nsor.com) | GPT-3.5 |
| [you.com](https://you.com) | GPT-3.5 / Internet / good search |
| [sqlchat.ai](https://sqlchat.ai) | GPT-3.5 |
| [bard.google.com](https://bard.google.com) | custom / search |
| [bing.com/chat](https://bing.com/chat) | GPT-4/3.5 |
| [chat.forefront.ai/](https://chat.forefront.ai/) | GPT-4/3.5 |
## Best sites <a name="best-sites"></a>
#### gpt-4
- [`/forefront`](gpt4free/forefront/README.md)
#### gpt-3.5
- [`/you`](gpt4free/you/README.md)
## Install <a name="install"></a>
Download or clone this GitHub repo
install requirements with:
```sh
pip3 install -r requirements.txt
```
## To start gpt4free GUI <a name="streamlit-gpt4free-gui"></a>
Move `streamlit_app.py` from `./gui` to the base folder
then run:
`streamlit run streamlit_app.py` or `python3 -m streamlit run streamlit_app.py`
## Docker <a name="docker-instructions"></a>
Build
```
docker build -t gpt4free:latest -f Docker/Dockerfile .
```
Run
```
docker run -p 8501:8501 gpt4free:latest
```
Another way - docker-compose (no docker build/run needed)
```
docker-compose up -d
```
## Deploy using docker-compose
Run the following:
```
docker-compose up -d
```
## ChatGPT clone
> currently implementing new features and trying to scale it, please be patient it may be unstable
> https://chat.chatbot.sex/chat
> This site was developed by me and includes **gpt-4/3.5**, **internet access** and **gpt-jailbreak's** like DAN
> run locally here: https://github.com/xtekky/chatgpt-clone
## Copyright:
This program is licensed under the [GNU GPL v3](https://www.gnu.org/licenses/gpl-3.0.txt)
Most code, with the exception of `quora/api.py` (by [ading2210](https://github.com/ading2210)), has been written by me, [xtekky](https://github.com/xtekky).
### Copyright Notice: <a name="copyright"></a>
```
xtekky/gpt4free: multiple reverse engineered language-model api's to decentralise the ai industry.
Copyright (C) 2023 xtekky
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
```
## Star History <a name="star-history"></a>
[![Star History Chart](https://api.star-history.com/svg?repos=xtekky/gpt4free&type=Date)](https://star-history.com/#xtekky/gpt4free)

15
Singularity/gpt4free.sif ノーマルファイル
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Bootstrap: docker
From: python:3.10-slim
%post
apt-get update && apt-get install -y git
git clone https://github.com/xtekky/gpt4free.git
cd gpt4free
pip install --no-cache-dir -r requirements.txt
cp gui/streamlit_app.py .
%expose
8501
%startscript
exec streamlit run streamlit_app.py

9
docker-compose.yaml ノーマルファイル
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version: "3.9"
services:
gpt4free:
build:
context: .
dockerfile: Dockerfile
ports:
- "8501:8501"

14
docker-compose.yml ノーマルファイル
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version: '3.8'
services:
gpt4:
build:
context: .
dockerfile: Dockerfile
image: gpt4free:latest
container_name: gpt4
ports:
- 8501:8501
restart: unless-stopped
read_only: true

バイナリ
gpt4free/.DS_Store vendored ノーマルファイル
ファイルの表示

バイナリファイルは表示されません。

115
gpt4free/README.md ノーマルファイル
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# gpt4free package
### What is it?
gpt4free is a python package that provides some language model api's
### Main Features
- It's free to use
- Easy access
### Installation:
```bash
pip install gpt4free
```
#### Usage:
```python
import gpt4free
from gpt4free import Provider, quora, forefront
# usage You
response = gpt4free.Completion.create(Provider.You, prompt='Write a poem on Lionel Messi')
print(response)
# usage Poe
token = quora.Account.create(logging=False)
response = gpt4free.Completion.create(Provider.Poe, prompt='Write a poem on Lionel Messi', token=token, model='ChatGPT')
print(response)
# usage forefront
token = forefront.Account.create(logging=False)
response = gpt4free.Completion.create(
Provider.ForeFront, prompt='Write a poem on Lionel Messi', model='gpt-4', token=token
)
print(response)
print(f'END')
# usage theb
response = gpt4free.Completion.create(Provider.Theb, prompt='Write a poem on Lionel Messi')
print(response)
# usage cocalc
response = gpt4free.Completion.create(Provider.CoCalc, prompt='Write a poem on Lionel Messi', cookie_input='')
print(response)
```
### Invocation Arguments
`gpt4free.Completion.create()` method has two required arguments
1. Provider: This is an enum representing different provider
2. prompt: This is the user input
#### Keyword Arguments
Some of the keyword arguments are optional, while others are required.
- You:
- `safe_search`: boolean - default value is `False`
- `include_links`: boolean - default value is `False`
- `detailed`: boolean - default value is `False`
- Quora:
- `token`: str - this needs to be provided by the user
- `model`: str - default value is `gpt-4`.
(Available models: `['Sage', 'GPT-4', 'Claude+', 'Claude-instant', 'ChatGPT', 'Dragonfly', 'NeevaAI']`)
- ForeFront:
- `token`: str - this need to be provided by the user
- Theb:
(no keyword arguments required)
- CoCalc:
- `cookie_input`: str - this needs to be provided by user
#### Token generation of quora
```python
from gpt4free import quora
token = quora.Account.create(logging=False)
```
### Token generation of ForeFront
```python
from gpt4free import forefront
token = forefront.Account.create(logging=False)
```
## Copyright:
This program is licensed under the [GNU GPL v3](https://www.gnu.org/licenses/gpl-3.0.txt)
### Copyright Notice: <a name="copyright"></a>
```
xtekky/gpt4free: multiple reverse engineered language-model api's to decentralise the ai industry.
Copyright (C) 2023 xtekky
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
```

73
gpt4free/__init__.py ノーマルファイル
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from enum import Enum
from gpt4free import cocalc
from gpt4free import forefront
from gpt4free import quora
from gpt4free import theb
from gpt4free import you
from gpt4free import usesless
class Provider(Enum):
"""An enum representing different providers."""
You = 'you'
Poe = 'poe'
ForeFront = 'fore_front'
Theb = 'theb'
CoCalc = 'cocalc'
UseLess = 'useless'
class Completion:
"""This class will be used for invoking the given provider"""
@staticmethod
def create(provider: Provider, prompt: str, **kwargs) -> str:
"""
Invokes the given provider with given prompt and addition arguments and returns the string response
:param provider: an enum representing the provider to use while invoking
:param prompt: input provided by the user
:param kwargs: Additional keyword arguments to pass to the provider while invoking
:return: A string representing the response from the provider
"""
if provider == Provider.Poe:
return Completion.__poe_service(prompt, **kwargs)
elif provider == Provider.You:
return Completion.__you_service(prompt, **kwargs)
elif provider == Provider.ForeFront:
return Completion.__fore_front_service(prompt, **kwargs)
elif provider == Provider.Theb:
return Completion.__theb_service(prompt, **kwargs)
elif provider == Provider.CoCalc:
return Completion.__cocalc_service(prompt, **kwargs)
elif provider == Provider.UseLess:
return Completion.__useless_service(prompt, **kwargs)
else:
raise Exception('Provider not exist, Please try again')
@staticmethod
def __useless_service(prompt: str, **kwargs) -> str:
return usesless.Completion.create(prompt = prompt, **kwargs)
@staticmethod
def __you_service(prompt: str, **kwargs) -> str:
return you.Completion.create(prompt, **kwargs).text
@staticmethod
def __poe_service(prompt: str, **kwargs) -> str:
return quora.Completion.create(prompt=prompt, **kwargs).text
@staticmethod
def __fore_front_service(prompt: str, **kwargs) -> str:
return forefront.Completion.create(prompt=prompt, **kwargs).text
@staticmethod
def __theb_service(prompt: str, **kwargs):
return ''.join(theb.Completion.create(prompt=prompt))
@staticmethod
def __cocalc_service(prompt: str, **kwargs):
return cocalc.Completion.create(prompt, cookie_input=kwargs.get('cookie_input', '')).text

67
gpt4free/cocalc/__init__.py ノーマルファイル
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import requests
from fake_useragent import UserAgent
from pydantic import BaseModel
class CoCalcResponse(BaseModel):
text: str
status: bool
class Completion:
"""A class for generating text completions using CoCalc's GPT-based chatbot."""
API_ENDPOINT = "https://cocalc.com/api/v2/openai/chatgpt"
DEFAULT_SYSTEM_PROMPT = "ASSUME I HAVE FULL ACCESS TO COCALC. "
@staticmethod
def create(prompt: str, cookie_input: str) -> CoCalcResponse:
"""
Generate a text completion for the given prompt using CoCalc's GPT-based chatbot.
Args:
prompt: The text prompt to complete.
cookie_input: The cookie required to authenticate the chatbot API request.
Returns:
A CoCalcResponse object containing the text completion and a boolean indicating
whether the request was successful.
"""
# Initialize a session with custom headers
session = Completion._initialize_session(cookie_input)
# Set the data that will be submitted
payload = Completion._create_payload(prompt, Completion.DEFAULT_SYSTEM_PROMPT)
try:
# Submit the request and return the results
response = session.post(Completion.API_ENDPOINT, json=payload).json()
return CoCalcResponse(text=response['output'], status=response['success'])
except requests.exceptions.RequestException as e:
# Handle exceptions that may occur during the request
print(f"Error: {e}")
return CoCalcResponse(text="", status=False)
@classmethod
def _initialize_session(cls, conversation_cookie: str) -> requests.Session:
"""Initialize a session with custom headers for the request."""
session = requests.Session()
headers = {
"Accept": "*/*",
"Accept-Language": "en-US,en;q=0.5",
"Origin": "https://cocalc.com",
"Referer": "https://cocalc.com/api/v2/openai/chatgpt",
"Cookie": conversation_cookie,
"User-Agent": UserAgent().random,
}
session.headers.update(headers)
return session
@staticmethod
def _create_payload(prompt: str, system_prompt: str) -> dict:
"""Create the payload for the API request."""
return {"input": prompt, "system": system_prompt, "tag": "next:index"}

19
gpt4free/cocalc/readme.md ノーマルファイル
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### Example: `cocalc` <a name="example-cocalc"></a>
```python
# import library
from gpt4free import cocalc
cocalc.Completion.create(prompt="How are you!", cookie_input="cookieinput") ## Tutorial
```
### How to grab cookie input
```js
// input this into ur developer tools console and the exact response u get from this u put into ur cookieInput!
var cookies = document.cookie.split("; ");
var cookieString = "";
for (var i = 0; i < cookies.length; i++) {
cookieString += cookies[i] + "; ";
}
console.log(cookieString);
```

13
gpt4free/forefront/README.md ノーマルファイル
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### Example: `forefront` (use like openai pypi package) <a name="example-forefront"></a>
```python
from gpt4free import forefront
# create an account
token = forefront.Account.create(logging=False)
print(token)
# get a response
for response in forefront.StreamingCompletion.create(token=token,
prompt='hello world', model='gpt-4'):
print(response.completion.choices[0].text, end='')
print("")
```

194
gpt4free/forefront/__init__.py ノーマルファイル
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from json import loads
from re import findall
from time import time, sleep
from typing import Generator, Optional
from uuid import uuid4
from fake_useragent import UserAgent
from requests import post
from pymailtm import MailTm, Message
from tls_client import Session
from .typing import ForeFrontResponse
class Account:
@staticmethod
def create(proxy: Optional[str] = None, logging: bool = False):
proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else False
start = time()
mail_client = MailTm().get_account()
mail_address = mail_client.address
client = Session(client_identifier='chrome110')
client.proxies = proxies
client.headers = {
'origin': 'https://accounts.forefront.ai',
'user-agent': UserAgent().random,
}
response = client.post(
'https://clerk.forefront.ai/v1/client/sign_ups?_clerk_js_version=4.38.4',
data={'email_address': mail_address},
)
try:
trace_token = response.json()['response']['id']
if logging:
print(trace_token)
except KeyError:
return 'Failed to create account!'
response = client.post(
f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/prepare_verification?_clerk_js_version=4.38.4',
data={
'strategy': 'email_link',
'redirect_url': 'https://accounts.forefront.ai/sign-up/verify'
},
)
if logging:
print(response.text)
if 'sign_up_attempt' not in response.text:
return 'Failed to create account!'
while True:
sleep(1)
new_message: Message = mail_client.wait_for_message()
if logging:
print(new_message.data['id'])
verification_url = findall(r'https:\/\/clerk\.forefront\.ai\/v1\/verify\?token=\w.+', new_message.text)[0]
if verification_url:
break
if logging:
print(verification_url)
response = client.get(verification_url)
response = client.get('https://clerk.forefront.ai/v1/client?_clerk_js_version=4.38.4')
token = response.json()['response']['sessions'][0]['last_active_token']['jwt']
with open('accounts.txt', 'a') as f:
f.write(f'{mail_address}:{token}\n')
if logging:
print(time() - start)
return token
class StreamingCompletion:
@staticmethod
def create(
token=None,
chat_id=None,
prompt='',
action_type='new',
default_persona='607e41fe-95be-497e-8e97-010a59b2e2c0', # default
model='gpt-4',
proxy=None
) -> Generator[ForeFrontResponse, None, None]:
if not token:
raise Exception('Token is required!')
if not chat_id:
chat_id = str(uuid4())
proxies = { 'http': 'http://' + proxy, 'https': 'http://' + proxy } if proxy else None
headers = {
'authority': 'chat-server.tenant-forefront-default.knative.chi.coreweave.com',
'accept': '*/*',
'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
'authorization': 'Bearer ' + token,
'cache-control': 'no-cache',
'content-type': 'application/json',
'origin': 'https://chat.forefront.ai',
'pragma': 'no-cache',
'referer': 'https://chat.forefront.ai/',
'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"macOS"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'cross-site',
'user-agent': UserAgent().random,
}
json_data = {
'text': prompt,
'action': action_type,
'parentId': chat_id,
'workspaceId': chat_id,
'messagePersona': default_persona,
'model': model,
}
for chunk in post(
'https://chat-server.tenant-forefront-default.knative.chi.coreweave.com/chat',
headers=headers,
proxies=proxies,
json=json_data,
stream=True,
).iter_lines():
if b'finish_reason":null' in chunk:
data = loads(chunk.decode('utf-8').split('data: ')[1])
token = data['choices'][0]['delta'].get('content')
if token is not None:
yield ForeFrontResponse(
**{
'id': chat_id,
'object': 'text_completion',
'created': int(time()),
'text': token,
'model': model,
'choices': [{'text': token, 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}],
'usage': {
'prompt_tokens': len(prompt),
'completion_tokens': len(token),
'total_tokens': len(prompt) + len(token),
},
}
)
class Completion:
@staticmethod
def create(
token=None,
chat_id=None,
prompt='',
action_type='new',
default_persona='607e41fe-95be-497e-8e97-010a59b2e2c0', # default
model='gpt-4',
proxy=None
) -> ForeFrontResponse:
text = ''
final_response = None
for response in StreamingCompletion.create(
token=token,
chat_id=chat_id,
prompt=prompt,
action_type=action_type,
default_persona=default_persona,
model=model,
proxy=proxy
):
if response:
final_response = response
text += response.text
if final_response:
final_response.text = text
else:
raise Exception('Unable to get the response, Please try again')
return final_response

25
gpt4free/forefront/typing.py ノーマルファイル
ファイルの表示

@ -0,0 +1,25 @@
from typing import Any, List
from pydantic import BaseModel
class Choice(BaseModel):
text: str
index: int
logprobs: Any
finish_reason: str
class Usage(BaseModel):
prompt_tokens: int
completion_tokens: int
total_tokens: int
class ForeFrontResponse(BaseModel):
id: str
object: str
created: int
model: str
choices: List[Choice]
usage: Usage
text: str

68
gpt4free/quora/README.md ノーマルファイル
ファイルの表示

@ -0,0 +1,68 @@
> ⚠ Warning !!!
poe.com added security and can detect if you are making automated requests. You may get your account banned if you are using this api.
The normal non-driver api is also currently not very stable
### Example: `quora (poe)` (use like openai pypi package) - GPT-4 <a name="example-poe"></a>
```python
# quora model names: (use left key as argument)
models = {
'sage' : 'capybara',
'gpt-4' : 'beaver',
'claude-v1.2' : 'a2_2',
'claude-instant-v1.0' : 'a2',
'gpt-3.5-turbo' : 'chinchilla'
}
```
### New: bot creation
```python
# import quora (poe) package
from gpt4free import quora
# create account
# make sure to set enable_bot_creation to True
token = quora.Account.create(logging=True, enable_bot_creation=True)
model = quora.Model.create(
token=token,
model='gpt-3.5-turbo', # or claude-instant-v1.0
system_prompt='you are ChatGPT a large language model ...'
)
print(model.name) # gptx....
# streaming response
for response in quora.StreamingCompletion.create(
custom_model=model.name,
prompt='hello world',
token=token):
print(response.completion.choices[0].text)
```
### Normal Response:
```python
response = quora.Completion.create(model = 'gpt-4',
prompt = 'hello world',
token = token)
print(response.completion.choices[0].text)
```
### Update Use This For Poe
```python
from gpt4free.quora import Poe
# available models: ['Sage', 'GPT-4', 'Claude+', 'Claude-instant', 'ChatGPT', 'Dragonfly', 'NeevaAI']
poe = Poe(model='ChatGPT', driver='firefox', cookie_path='cookie.json', driver_path='path_of_driver')
poe.chat('who won the football world cup most?')
# new bot creation
poe.create_bot('new_bot_name', prompt='You are new test bot', base_model='gpt-3.5-turbo')
```

477
gpt4free/quora/__init__.py ノーマルファイル
ファイルの表示

@ -0,0 +1,477 @@
import json
from datetime import datetime
from hashlib import md5
from json import dumps
from pathlib import Path
from random import choice, choices, randint
from re import search, findall
from string import ascii_letters, digits
from typing import Optional, Union, List, Any, Generator
from urllib.parse import unquote
import selenium.webdriver.support.expected_conditions as EC
from fake_useragent import UserAgent
from pydantic import BaseModel
from pypasser import reCaptchaV3
from requests import Session
from selenium.webdriver import Firefox, Chrome, FirefoxOptions, ChromeOptions
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait
from tls_client import Session as TLS
from .api import Client as PoeClient
from .mail import Emailnator
SELENIUM_WEB_DRIVER_ERROR_MSG = b'''The error message you are receiving is due to the `geckodriver` executable not
being found in your system\'s PATH. To resolve this issue, you need to download the geckodriver and add its location
to your system\'s PATH.\n\nHere are the steps to resolve the issue:\n\n1. Download the geckodriver for your platform
(Windows, macOS, or Linux) from the following link: https://github.com/mozilla/geckodriver/releases\n\n2. Extract the
downloaded archive and locate the geckodriver executable.\n\n3. Add the geckodriver executable to your system\'s
PATH.\n\nFor macOS and Linux:\n\n- Open a terminal window.\n- Move the geckodriver executable to a directory that is
already in your PATH, or create a new directory and add it to your PATH:\n\n```bash\n# Example: Move geckodriver to
/usr/local/bin\nmv /path/to/your/geckodriver /usr/local/bin\n```\n\n- If you created a new directory, add it to your
PATH:\n\n```bash\n# Example: Add a new directory to PATH\nexport PATH=$PATH:/path/to/your/directory\n```\n\nFor
Windows:\n\n- Right-click on "My Computer" or "This PC" and select "Properties".\n- Click on "Advanced system
settings".\n- Click on the "Environment Variables" button.\n- In the "System variables" section, find the "Path"
variable, select it, and click "Edit".\n- Click "New" and add the path to the directory containing the geckodriver
executable.\n\nAfter adding the geckodriver to your PATH, restart your terminal or command prompt and try running
your script again. The error should be resolved.'''
# from twocaptcha import TwoCaptcha
# solver = TwoCaptcha('72747bf24a9d89b4dcc1b24875efd358')
MODELS = {
'Sage': 'capybara',
'GPT-4': 'beaver',
'Claude+': 'a2_2',
'Claude-instant': 'a2',
'ChatGPT': 'chinchilla',
'Dragonfly': 'nutria',
'NeevaAI': 'hutia',
}
def extract_formkey(html):
script_regex = r'<script>if\(.+\)throw new Error;(.+)</script>'
script_text = search(script_regex, html).group(1)
key_regex = r'var .="([0-9a-f]+)",'
key_text = search(key_regex, script_text).group(1)
cipher_regex = r'.\[(\d+)\]=.\[(\d+)\]'
cipher_pairs = findall(cipher_regex, script_text)
formkey_list = [''] * len(cipher_pairs)
for pair in cipher_pairs:
formkey_index, key_index = map(int, pair)
formkey_list[formkey_index] = key_text[key_index]
formkey = ''.join(formkey_list)
return formkey
class Choice(BaseModel):
text: str
index: int
logprobs: Any
finish_reason: str
class Usage(BaseModel):
prompt_tokens: int
completion_tokens: int
total_tokens: int
class PoeResponse(BaseModel):
id: int
object: str
created: int
model: str
choices: List[Choice]
usage: Usage
text: str
class ModelResponse:
def __init__(self, json_response: dict) -> None:
self.id = json_response['data']['poeBotCreate']['bot']['id']
self.name = json_response['data']['poeBotCreate']['bot']['displayName']
self.limit = json_response['data']['poeBotCreate']['bot']['messageLimit']['dailyLimit']
self.deleted = json_response['data']['poeBotCreate']['bot']['deletionState']
class Model:
@staticmethod
def create(
token: str,
model: str = 'gpt-3.5-turbo', # claude-instant
system_prompt: str = 'You are ChatGPT a large language model developed by Openai. Answer as consisely as possible',
description: str = 'gpt-3.5 language model from openai, skidded by poe.com',
handle: str = None,
) -> ModelResponse:
if not handle:
handle = f'gptx{randint(1111111, 9999999)}'
client = Session()
client.cookies['p-b'] = token
formkey = extract_formkey(client.get('https://poe.com').text)
settings = client.get('https://poe.com/api/settings').json()
client.headers = {
'host': 'poe.com',
'origin': 'https://poe.com',
'referer': 'https://poe.com/',
'poe-formkey': formkey,
'poe-tchannel': settings['tchannelData']['channel'],
'user-agent': UserAgent().random,
'connection': 'keep-alive',
'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"macOS"',
'content-type': 'application/json',
'sec-fetch-site': 'same-origin',
'sec-fetch-mode': 'cors',
'sec-fetch-dest': 'empty',
'accept': '*/*',
'accept-encoding': 'gzip, deflate, br',
'accept-language': 'en-GB,en-US;q=0.9,en;q=0.8',
}
payload = dumps(
separators=(',', ':'),
obj={
'queryName': 'CreateBotMain_poeBotCreate_Mutation',
'variables': {
'model': MODELS[model],
'handle': handle,
'prompt': system_prompt,
'isPromptPublic': True,
'introduction': '',
'description': description,
'profilePictureUrl': 'https://qph.fs.quoracdn.net/main-qimg-24e0b480dcd946e1cc6728802c5128b6',
'apiUrl': None,
'apiKey': ''.join(choices(ascii_letters + digits, k=32)),
'isApiBot': False,
'hasLinkification': False,
'hasMarkdownRendering': False,
'hasSuggestedReplies': False,
'isPrivateBot': False,
},
'query': 'mutation CreateBotMain_poeBotCreate_Mutation(\n $model: String!\n $handle: String!\n $prompt: String!\n $isPromptPublic: Boolean!\n $introduction: String!\n $description: String!\n $profilePictureUrl: String\n $apiUrl: String\n $apiKey: String\n $isApiBot: Boolean\n $hasLinkification: Boolean\n $hasMarkdownRendering: Boolean\n $hasSuggestedReplies: Boolean\n $isPrivateBot: Boolean\n) {\n poeBotCreate(model: $model, handle: $handle, promptPlaintext: $prompt, isPromptPublic: $isPromptPublic, introduction: $introduction, description: $description, profilePicture: $profilePictureUrl, apiUrl: $apiUrl, apiKey: $apiKey, isApiBot: $isApiBot, hasLinkification: $hasLinkification, hasMarkdownRendering: $hasMarkdownRendering, hasSuggestedReplies: $hasSuggestedReplies, isPrivateBot: $isPrivateBot) {\n status\n bot {\n id\n ...BotHeader_bot\n }\n }\n}\n\nfragment BotHeader_bot on Bot {\n displayName\n messageLimit {\n dailyLimit\n }\n ...BotImage_bot\n ...BotLink_bot\n ...IdAnnotation_node\n ...botHelpers_useViewerCanAccessPrivateBot\n ...botHelpers_useDeletion_bot\n}\n\nfragment BotImage_bot on Bot {\n displayName\n ...botHelpers_useDeletion_bot\n ...BotImage_useProfileImage_bot\n}\n\nfragment BotImage_useProfileImage_bot on Bot {\n image {\n __typename\n ... on LocalBotImage {\n localName\n }\n ... on UrlBotImage {\n url\n }\n }\n ...botHelpers_useDeletion_bot\n}\n\nfragment BotLink_bot on Bot {\n displayName\n}\n\nfragment IdAnnotation_node on Node {\n __isNode: __typename\n id\n}\n\nfragment botHelpers_useDeletion_bot on Bot {\n deletionState\n}\n\nfragment botHelpers_useViewerCanAccessPrivateBot on Bot {\n isPrivateBot\n viewerIsCreator\n}\n',
},
)
base_string = payload + client.headers['poe-formkey'] + 'WpuLMiXEKKE98j56k'
client.headers['poe-tag-id'] = md5(base_string.encode()).hexdigest()
response = client.post('https://poe.com/api/gql_POST', data=payload)
if 'success' not in response.text:
raise Exception(
'''
Bot creation Failed
!! Important !!
Bot creation was not enabled on this account
please use: quora.Account.create with enable_bot_creation set to True
'''
)
return ModelResponse(response.json())
class Account:
@staticmethod
def create(
proxy: Optional[str] = None,
logging: bool = False,
enable_bot_creation: bool = False,
):
client = TLS(client_identifier='chrome110')
client.proxies = {'http': f'http://{proxy}', 'https': f'http://{proxy}'} if proxy else {}
mail_client = Emailnator()
mail_address = mail_client.get_mail()
if logging:
print('email', mail_address)
client.headers = {
'authority': 'poe.com',
'accept': '*/*',
'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
'content-type': 'application/json',
'origin': 'https://poe.com',
'poe-tag-id': 'null',
'referer': 'https://poe.com/login',
'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"macOS"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-origin',
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
'poe-formkey': extract_formkey(client.get('https://poe.com/login').text),
'poe-tchannel': client.get('https://poe.com/api/settings').json()['tchannelData']['channel'],
}
token = reCaptchaV3(
'https://www.recaptcha.net/recaptcha/enterprise/anchor?ar=1&k=6LflhEElAAAAAI_ewVwRWI9hsyV4mbZnYAslSvlG&co=aHR0cHM6Ly9wb2UuY29tOjQ0Mw..&hl=en&v=4PnKmGB9wRHh1i04o7YUICeI&size=invisible&cb=bi6ivxoskyal'
)
# token = solver.recaptcha(sitekey='6LflhEElAAAAAI_ewVwRWI9hsyV4mbZnYAslSvlG',
# url = 'https://poe.com/login?redirect_url=%2F',
# version = 'v3',
# enterprise = 1,
# invisible = 1,
# action = 'login',)['code']
payload = dumps(
separators=(',', ':'),
obj={
'queryName': 'MainSignupLoginSection_sendVerificationCodeMutation_Mutation',
'variables': {
'emailAddress': mail_address,
'phoneNumber': None,
'recaptchaToken': token,
},
'query': 'mutation MainSignupLoginSection_sendVerificationCodeMutation_Mutation(\n $emailAddress: String\n $phoneNumber: String\n $recaptchaToken: String\n) {\n sendVerificationCode(verificationReason: login, emailAddress: $emailAddress, phoneNumber: $phoneNumber, recaptchaToken: $recaptchaToken) {\n status\n errorMessage\n }\n}\n',
},
)
base_string = payload + client.headers['poe-formkey'] + 'WpuLMiXEKKE98j56k'
client.headers['poe-tag-id'] = md5(base_string.encode()).hexdigest()
print(dumps(client.headers, indent=4))
response = client.post('https://poe.com/api/gql_POST', data=payload)
if 'automated_request_detected' in response.text:
print('please try using a proxy / wait for fix')
if 'Bad Request' in response.text:
if logging:
print('bad request, retrying...', response.json())
quit()
if logging:
print('send_code', response.json())
mail_content = mail_client.get_message()
mail_token = findall(r';">(\d{6,7})</div>', mail_content)[0]
if logging:
print('code', mail_token)
payload = dumps(
separators=(',', ':'),
obj={
'queryName': 'SignupOrLoginWithCodeSection_signupWithVerificationCodeMutation_Mutation',
'variables': {
'verificationCode': str(mail_token),
'emailAddress': mail_address,
'phoneNumber': None,
},
'query': 'mutation SignupOrLoginWithCodeSection_signupWithVerificationCodeMutation_Mutation(\n $verificationCode: String!\n $emailAddress: String\n $phoneNumber: String\n) {\n signupWithVerificationCode(verificationCode: $verificationCode, emailAddress: $emailAddress, phoneNumber: $phoneNumber) {\n status\n errorMessage\n }\n}\n',
},
)
base_string = payload + client.headers['poe-formkey'] + 'WpuLMiXEKKE98j56k'
client.headers['poe-tag-id'] = md5(base_string.encode()).hexdigest()
response = client.post('https://poe.com/api/gql_POST', data=payload)
if logging:
print('verify_code', response.json())
def get(self):
cookies = open(Path(__file__).resolve().parent / 'cookies.txt', 'r').read().splitlines()
return choice(cookies)
class StreamingCompletion:
@staticmethod
def create(
model: str = 'gpt-4',
custom_model: bool = None,
prompt: str = 'hello world',
token: str = '',
proxy: Optional[str] = None
) -> Generator[PoeResponse, None, None]:
_model = MODELS[model] if not custom_model else custom_model
proxies = { 'http': 'http://' + proxy, 'https': 'http://' + proxy } if proxy else False
client = PoeClient(token)
client.proxy = proxies
for chunk in client.send_message(_model, prompt):
yield PoeResponse(
**{
'id': chunk['messageId'],
'object': 'text_completion',
'created': chunk['creationTime'],
'model': _model,
'text': chunk['text_new'],
'choices': [
{
'text': chunk['text_new'],
'index': 0,
'logprobs': None,
'finish_reason': 'stop',
}
],
'usage': {
'prompt_tokens': len(prompt),
'completion_tokens': len(chunk['text_new']),
'total_tokens': len(prompt) + len(chunk['text_new']),
},
}
)
class Completion:
@staticmethod
def create(
model: str = 'gpt-4',
custom_model: str = None,
prompt: str = 'hello world',
token: str = '',
proxy: Optional[str] = None
) -> PoeResponse:
_model = MODELS[model] if not custom_model else custom_model
proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else False
client = PoeClient(token)
client.proxy = proxies
chunk = None
for response in client.send_message(_model, prompt):
chunk = response
return PoeResponse(
**{
'id': chunk['messageId'],
'object': 'text_completion',
'created': chunk['creationTime'],
'model': _model,
'text': chunk['text'],
'choices': [
{
'text': chunk['text'],
'index': 0,
'logprobs': None,
'finish_reason': 'stop',
}
],
'usage': {
'prompt_tokens': len(prompt),
'completion_tokens': len(chunk['text']),
'total_tokens': len(prompt) + len(chunk['text']),
},
}
)
class Poe:
def __init__(
self,
model: str = 'ChatGPT',
driver: str = 'firefox',
download_driver: bool = False,
driver_path: Optional[str] = None,
cookie_path: str = './quora/cookie.json',
):
# validating the model
if model and model not in MODELS:
raise RuntimeError('Sorry, the model you provided does not exist. Please check and try again.')
self.model = MODELS[model]
self.cookie_path = cookie_path
self.cookie = self.__load_cookie(driver, driver_path=driver_path)
self.client = PoeClient(self.cookie)
def __load_cookie(self, driver: str, driver_path: Optional[str] = None) -> str:
if (cookie_file := Path(self.cookie_path)).exists():
with cookie_file.open() as fp:
cookie = json.load(fp)
if datetime.fromtimestamp(cookie['expiry']) < datetime.now():
cookie = self.__register_and_get_cookie(driver, driver_path=driver_path)
else:
print('Loading the cookie from file')
else:
cookie = self.__register_and_get_cookie(driver, driver_path=driver_path)
return unquote(cookie['value'])
def __register_and_get_cookie(self, driver: str, driver_path: Optional[str] = None) -> dict:
mail_client = Emailnator()
mail_address = mail_client.get_mail()
driver = self.__resolve_driver(driver, driver_path=driver_path)
driver.get("https://www.poe.com")
# clicking use email button
driver.find_element(By.XPATH, '//button[contains(text(), "Use email")]').click()
email = WebDriverWait(driver, 30).until(EC.presence_of_element_located((By.XPATH, '//input[@type="email"]')))
email.send_keys(mail_address)
driver.find_element(By.XPATH, '//button[text()="Go"]').click()
code = findall(r';">(\d{6,7})</div>', mail_client.get_message())[0]
print(code)
verification_code = WebDriverWait(driver, 30).until(
EC.presence_of_element_located((By.XPATH, '//input[@placeholder="Code"]'))
)
verification_code.send_keys(code)
verify_button = EC.presence_of_element_located((By.XPATH, '//button[text()="Verify"]'))
login_button = EC.presence_of_element_located((By.XPATH, '//button[text()="Log In"]'))
WebDriverWait(driver, 30).until(EC.any_of(verify_button, login_button)).click()
cookie = driver.get_cookie('p-b')
with open(self.cookie_path, 'w') as fw:
json.dump(cookie, fw)
driver.close()
return cookie
@staticmethod
def __resolve_driver(driver: str, driver_path: Optional[str] = None) -> Union[Firefox, Chrome]:
options = FirefoxOptions() if driver == 'firefox' else ChromeOptions()
options.add_argument('-headless')
if driver_path:
options.binary_location = driver_path
try:
return Firefox(options=options) if driver == 'firefox' else Chrome(options=options)
except Exception:
raise Exception(SELENIUM_WEB_DRIVER_ERROR_MSG)
def chat(self, message: str, model: Optional[str] = None) -> str:
if model and model not in MODELS:
raise RuntimeError('Sorry, the model you provided does not exist. Please check and try again.')
model = MODELS[model] if model else self.model
response = None
for chunk in self.client.send_message(model, message):
response = chunk['text']
return response
def create_bot(
self,
name: str,
/,
prompt: str = '',
base_model: str = 'ChatGPT',
description: str = '',
) -> None:
if base_model not in MODELS:
raise RuntimeError('Sorry, the base_model you provided does not exist. Please check and try again.')
response = self.client.create_bot(
handle=name,
prompt=prompt,
base_model=MODELS[base_model],
description=description,
)
print(f'Successfully created bot with name: {response["bot"]["displayName"]}')
def list_bots(self) -> list:
return list(self.client.bot_names.values())

545
gpt4free/quora/api.py ノーマルファイル
ファイルの表示

@ -0,0 +1,545 @@
# This file was taken from the repository poe-api https://github.com/ading2210/poe-api and is unmodified
# This file is licensed under the GNU GPL v3 and written by @ading2210
# license:
# ading2210/poe-api: a reverse engineered Python API wrapepr for Quora's Poe
# Copyright (C) 2023 ading2210
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
import hashlib
import json
import logging
import queue
import random
import re
import threading
import time
import traceback
from pathlib import Path
from urllib.parse import urlparse
import requests
import requests.adapters
import websocket
parent_path = Path(__file__).resolve().parent
queries_path = parent_path / "graphql"
queries = {}
logging.basicConfig()
logger = logging.getLogger()
user_agent = "Mozilla/5.0 (X11; Linux x86_64; rv:102.0) Gecko/20100101 Firefox/102.0"
def load_queries():
for path in queries_path.iterdir():
if path.suffix != ".graphql":
continue
with open(path) as f:
queries[path.stem] = f.read()
def generate_payload(query_name, variables):
return {"query": queries[query_name], "variables": variables}
def request_with_retries(method, *args, **kwargs):
attempts = kwargs.get("attempts") or 10
url = args[0]
for i in range(attempts):
r = method(*args, **kwargs)
if r.status_code == 200:
return r
logger.warn(
f"Server returned a status code of {r.status_code} while downloading {url}. Retrying ({i + 1}/{attempts})..."
)
raise RuntimeError(f"Failed to download {url} too many times.")
class Client:
gql_url = "https://poe.com/api/gql_POST"
gql_recv_url = "https://poe.com/api/receive_POST"
home_url = "https://poe.com"
settings_url = "https://poe.com/api/settings"
def __init__(self, token, proxy=None):
self.proxy = proxy
self.session = requests.Session()
self.adapter = requests.adapters.HTTPAdapter(pool_connections=100, pool_maxsize=100)
self.session.mount("http://", self.adapter)
self.session.mount("https://", self.adapter)
if proxy:
self.session.proxies = {"http": self.proxy, "https": self.proxy}
logger.info(f"Proxy enabled: {self.proxy}")
self.active_messages = {}
self.message_queues = {}
self.session.cookies.set("p-b", token, domain="poe.com")
self.headers = {
"User-Agent": user_agent,
"Referrer": "https://poe.com/",
"Origin": "https://poe.com",
}
self.session.headers.update(self.headers)
self.setup_connection()
self.connect_ws()
def setup_connection(self):
self.ws_domain = f"tch{random.randint(1, 1e6)}"
self.next_data = self.get_next_data(overwrite_vars=True)
self.channel = self.get_channel_data()
self.bots = self.get_bots(download_next_data=False)
self.bot_names = self.get_bot_names()
self.gql_headers = {
"poe-formkey": self.formkey,
"poe-tchannel": self.channel["channel"],
}
self.gql_headers = {**self.gql_headers, **self.headers}
self.subscribe()
def extract_formkey(self, html):
script_regex = r"<script>if\(.+\)throw new Error;(.+)</script>"
script_text = re.search(script_regex, html).group(1)
key_regex = r'var .="([0-9a-f]+)",'
key_text = re.search(key_regex, script_text).group(1)
cipher_regex = r".\[(\d+)\]=.\[(\d+)\]"
cipher_pairs = re.findall(cipher_regex, script_text)
formkey_list = [""] * len(cipher_pairs)
for pair in cipher_pairs:
formkey_index, key_index = map(int, pair)
formkey_list[formkey_index] = key_text[key_index]
formkey = "".join(formkey_list)
return formkey
def get_next_data(self, overwrite_vars=False):
logger.info("Downloading next_data...")
r = request_with_retries(self.session.get, self.home_url)
json_regex = r'<script id="__NEXT_DATA__" type="application\/json">(.+?)</script>'
json_text = re.search(json_regex, r.text).group(1)
next_data = json.loads(json_text)
if overwrite_vars:
self.formkey = self.extract_formkey(r.text)
self.viewer = next_data["props"]["pageProps"]["payload"]["viewer"]
self.next_data = next_data
return next_data
def get_bot(self, display_name):
url = f'https://poe.com/_next/data/{self.next_data["buildId"]}/{display_name}.json'
r = request_with_retries(self.session.get, url)
chat_data = r.json()["pageProps"]["payload"]["chatOfBotDisplayName"]
return chat_data
def get_bots(self, download_next_data=True):
logger.info("Downloading all bots...")
if download_next_data:
next_data = self.get_next_data(overwrite_vars=True)
else:
next_data = self.next_data
if not "availableBots" in self.viewer:
raise RuntimeError("Invalid token or no bots are available.")
bot_list = self.viewer["availableBots"]
threads = []
bots = {}
def get_bot_thread(bot):
chat_data = self.get_bot(bot["displayName"])
bots[chat_data["defaultBotObject"]["nickname"]] = chat_data
for bot in bot_list:
thread = threading.Thread(target=get_bot_thread, args=(bot,), daemon=True)
threads.append(thread)
for thread in threads:
thread.start()
for thread in threads:
thread.join()
self.bots = bots
self.bot_names = self.get_bot_names()
return bots
def get_bot_names(self):
bot_names = {}
for bot_nickname in self.bots:
bot_obj = self.bots[bot_nickname]["defaultBotObject"]
bot_names[bot_nickname] = bot_obj["displayName"]
return bot_names
def get_remaining_messages(self, chatbot):
chat_data = self.get_bot(self.bot_names[chatbot])
return chat_data["defaultBotObject"]["messageLimit"]["numMessagesRemaining"]
def get_channel_data(self, channel=None):
logger.info("Downloading channel data...")
r = request_with_retries(self.session.get, self.settings_url)
data = r.json()
return data["tchannelData"]
def get_websocket_url(self, channel=None):
if channel is None:
channel = self.channel
query = f'?min_seq={channel["minSeq"]}&channel={channel["channel"]}&hash={channel["channelHash"]}'
return f'wss://{self.ws_domain}.tch.{channel["baseHost"]}/up/{channel["boxName"]}/updates' + query
def send_query(self, query_name, variables):
for i in range(20):
json_data = generate_payload(query_name, variables)
payload = json.dumps(json_data, separators=(",", ":"))
base_string = payload + self.gql_headers["poe-formkey"] + "WpuLMiXEKKE98j56k"
headers = {
"content-type": "application/json",
"poe-tag-id": hashlib.md5(base_string.encode()).hexdigest(),
}
headers = {**self.gql_headers, **headers}
r = request_with_retries(self.session.post, self.gql_url, data=payload, headers=headers)
data = r.json()
if data["data"] is None:
logger.warn(f'{query_name} returned an error: {data["errors"][0]["message"]} | Retrying ({i + 1}/20)')
time.sleep(2)
continue
return r.json()
raise RuntimeError(f"{query_name} failed too many times.")
def subscribe(self):
logger.info("Subscribing to mutations")
result = self.send_query(
"SubscriptionsMutation",
{
"subscriptions": [
{
"subscriptionName": "messageAdded",
"query": queries["MessageAddedSubscription"],
},
{
"subscriptionName": "viewerStateUpdated",
"query": queries["ViewerStateUpdatedSubscription"],
},
]
},
)
def ws_run_thread(self):
kwargs = {}
if self.proxy:
proxy_parsed = urlparse(self.proxy)
kwargs = {
"proxy_type": proxy_parsed.scheme,
"http_proxy_host": proxy_parsed.hostname,
"http_proxy_port": proxy_parsed.port,
}
self.ws.run_forever(**kwargs)
def connect_ws(self):
self.ws_connected = False
self.ws = websocket.WebSocketApp(
self.get_websocket_url(),
header={"User-Agent": user_agent},
on_message=self.on_message,
on_open=self.on_ws_connect,
on_error=self.on_ws_error,
on_close=self.on_ws_close,
)
t = threading.Thread(target=self.ws_run_thread, daemon=True)
t.start()
while not self.ws_connected:
time.sleep(0.01)
def disconnect_ws(self):
if self.ws:
self.ws.close()
self.ws_connected = False
def on_ws_connect(self, ws):
self.ws_connected = True
def on_ws_close(self, ws, close_status_code, close_message):
self.ws_connected = False
logger.warn(f"Websocket closed with status {close_status_code}: {close_message}")
def on_ws_error(self, ws, error):
self.disconnect_ws()
self.connect_ws()
def on_message(self, ws, msg):
try:
data = json.loads(msg)
if not "messages" in data:
return
for message_str in data["messages"]:
message_data = json.loads(message_str)
if message_data["message_type"] != "subscriptionUpdate":
continue
message = message_data["payload"]["data"]["messageAdded"]
copied_dict = self.active_messages.copy()
for key, value in copied_dict.items():
# add the message to the appropriate queue
if value == message["messageId"] and key in self.message_queues:
self.message_queues[key].put(message)
return
# indicate that the response id is tied to the human message id
elif key != "pending" and value is None and message["state"] != "complete":
self.active_messages[key] = message["messageId"]
self.message_queues[key].put(message)
return
except Exception:
logger.error(traceback.format_exc())
self.disconnect_ws()
self.connect_ws()
def send_message(self, chatbot, message, with_chat_break=False, timeout=20):
# if there is another active message, wait until it has finished sending
while None in self.active_messages.values():
time.sleep(0.01)
# None indicates that a message is still in progress
self.active_messages["pending"] = None
logger.info(f"Sending message to {chatbot}: {message}")
# reconnect websocket
if not self.ws_connected:
self.disconnect_ws()
self.setup_connection()
self.connect_ws()
message_data = self.send_query(
"SendMessageMutation",
{
"bot": chatbot,
"query": message,
"chatId": self.bots[chatbot]["chatId"],
"source": None,
"withChatBreak": with_chat_break,
},
)
del self.active_messages["pending"]
if not message_data["data"]["messageEdgeCreate"]["message"]:
raise RuntimeError(f"Daily limit reached for {chatbot}.")
try:
human_message = message_data["data"]["messageEdgeCreate"]["message"]
human_message_id = human_message["node"]["messageId"]
except TypeError:
raise RuntimeError(f"An unknown error occurred. Raw response data: {message_data}")
# indicate that the current message is waiting for a response
self.active_messages[human_message_id] = None
self.message_queues[human_message_id] = queue.Queue()
last_text = ""
message_id = None
while True:
try:
message = self.message_queues[human_message_id].get(timeout=timeout)
except queue.Empty:
del self.active_messages[human_message_id]
del self.message_queues[human_message_id]
raise RuntimeError("Response timed out.")
# only break when the message is marked as complete
if message["state"] == "complete":
if last_text and message["messageId"] == message_id:
break
else:
continue
# update info about response
message["text_new"] = message["text"][len(last_text) :]
last_text = message["text"]
message_id = message["messageId"]
yield message
del self.active_messages[human_message_id]
del self.message_queues[human_message_id]
def send_chat_break(self, chatbot):
logger.info(f"Sending chat break to {chatbot}")
result = self.send_query("AddMessageBreakMutation", {"chatId": self.bots[chatbot]["chatId"]})
return result["data"]["messageBreakCreate"]["message"]
def get_message_history(self, chatbot, count=25, cursor=None):
logger.info(f"Downloading {count} messages from {chatbot}")
messages = []
if cursor is None:
chat_data = self.get_bot(self.bot_names[chatbot])
if not chat_data["messagesConnection"]["edges"]:
return []
messages = chat_data["messagesConnection"]["edges"][:count]
cursor = chat_data["messagesConnection"]["pageInfo"]["startCursor"]
count -= len(messages)
cursor = str(cursor)
if count > 50:
messages = self.get_message_history(chatbot, count=50, cursor=cursor) + messages
while count > 0:
count -= 50
new_cursor = messages[0]["cursor"]
new_messages = self.get_message_history(chatbot, min(50, count), cursor=new_cursor)
messages = new_messages + messages
return messages
elif count <= 0:
return messages
result = self.send_query(
"ChatListPaginationQuery",
{"count": count, "cursor": cursor, "id": self.bots[chatbot]["id"]},
)
query_messages = result["data"]["node"]["messagesConnection"]["edges"]
messages = query_messages + messages
return messages
def delete_message(self, message_ids):
logger.info(f"Deleting messages: {message_ids}")
if not type(message_ids) is list:
message_ids = [int(message_ids)]
result = self.send_query("DeleteMessageMutation", {"messageIds": message_ids})
def purge_conversation(self, chatbot, count=-1):
logger.info(f"Purging messages from {chatbot}")
last_messages = self.get_message_history(chatbot, count=50)[::-1]
while last_messages:
message_ids = []
for message in last_messages:
if count == 0:
break
count -= 1
message_ids.append(message["node"]["messageId"])
self.delete_message(message_ids)
if count == 0:
return
last_messages = self.get_message_history(chatbot, count=50)[::-1]
logger.info(f"No more messages left to delete.")
def create_bot(
self,
handle,
prompt="",
base_model="chinchilla",
description="",
intro_message="",
api_key=None,
api_bot=False,
api_url=None,
prompt_public=True,
pfp_url=None,
linkification=False,
markdown_rendering=True,
suggested_replies=False,
private=False,
):
result = self.send_query(
"PoeBotCreateMutation",
{
"model": base_model,
"handle": handle,
"prompt": prompt,
"isPromptPublic": prompt_public,
"introduction": intro_message,
"description": description,
"profilePictureUrl": pfp_url,
"apiUrl": api_url,
"apiKey": api_key,
"isApiBot": api_bot,
"hasLinkification": linkification,
"hasMarkdownRendering": markdown_rendering,
"hasSuggestedReplies": suggested_replies,
"isPrivateBot": private,
},
)
data = result["data"]["poeBotCreate"]
if data["status"] != "success":
raise RuntimeError(f"Poe returned an error while trying to create a bot: {data['status']}")
self.get_bots()
return data
def edit_bot(
self,
bot_id,
handle,
prompt="",
base_model="chinchilla",
description="",
intro_message="",
api_key=None,
api_url=None,
private=False,
prompt_public=True,
pfp_url=None,
linkification=False,
markdown_rendering=True,
suggested_replies=False,
):
result = self.send_query(
"PoeBotEditMutation",
{
"baseBot": base_model,
"botId": bot_id,
"handle": handle,
"prompt": prompt,
"isPromptPublic": prompt_public,
"introduction": intro_message,
"description": description,
"profilePictureUrl": pfp_url,
"apiUrl": api_url,
"apiKey": api_key,
"hasLinkification": linkification,
"hasMarkdownRendering": markdown_rendering,
"hasSuggestedReplies": suggested_replies,
"isPrivateBot": private,
},
)
data = result["data"]["poeBotEdit"]
if data["status"] != "success":
raise RuntimeError(f"Poe returned an error while trying to edit a bot: {data['status']}")
self.get_bots()
return data
load_queries()

37
gpt4free/quora/backup-mail.py ノーマルファイル
ファイルの表示

@ -0,0 +1,37 @@
from requests import Session
from time import sleep
from json import loads
from re import findall
class Mail:
def __init__(self) -> None:
self.client = Session()
self.client.post("https://etempmail.com/")
self.cookies = {'acceptcookie': 'true'}
self.cookies["ci_session"] = self.client.cookies.get_dict()["ci_session"]
self.email = None
def get_mail(self):
respone=self.client.post("https://etempmail.com/getEmailAddress")
#cookies
self.cookies["lisansimo"] = eval(respone.text)["recover_key"]
self.email = eval(respone.text)["address"]
return self.email
def get_message(self):
print("Waiting for message...")
while True:
sleep(5)
respone=self.client.post("https://etempmail.com/getInbox")
mail_token=loads(respone.text)
print(self.client.cookies.get_dict())
if len(mail_token) == 1:
break
params = {'id': '1',}
self.mail_context = self.client.post("https://etempmail.com/getInbox",params=params)
self.mail_context = eval(self.mail_context.text)[0]["body"]
return self.mail_context
#,cookies=self.cookies
def get_verification_code(self):
message = self.mail_context
code = findall(r';">(\d{6,7})</div>', message)[0]
print(f"Verification code: {code}")
return code

30
gpt4free/quora/cookies.txt ノーマルファイル
ファイルの表示

@ -0,0 +1,30 @@
SmPiNXZI9hBTuf3viz74PA==
zw7RoKQfeEehiaelYMRWeA==
NEttgJ_rRQdO05Tppx6hFw==
3OnmC0r9njYdNWhWszdQJg==
8hZKR7MxwUTEHvO45TEViw==
Eea6BqK0AmosTKzoI3AAow==
pUEbtxobN_QUSpLIR8RGww==
9_dUWxKkHHhpQRSvCvBk2Q==
UV45rvGwUwi2qV9QdIbMcw==
cVIN0pK1Wx-F7zCdUxlYqA==
UP2wQVds17VFHh6IfCQFrA==
18eKr0ME2Tzifdfqat38Aw==
FNgKEpc2r-XqWe0rHBfYpg==
juCAh6kB0sUpXHvKik2woA==
nBvuNYRLaE4xE4HuzBPiIQ==
oyae3iClomSrk6RJywZ4iw==
1Z27Ul8BTdNOhncT5H6wdg==
wfUfJIlwQwUss8l-3kDt3w==
f6Jw_Nr0PietpNCtOCXJTw==
6Jc3yCs7XhDRNHa4ZML09g==
3vy44sIy-ZlTMofFiFDttw==
p9FbMGGiK1rShKgL3YWkDg==
pw6LI5Op84lf4HOY7fn91A==
QemKm6aothMvqcEgeKFDlQ==
cceZzucA-CEHR0Gt6VLYLQ==
JRRObMp2RHVn5u4730DPvQ==
XNt0wLTjX7Z-EsRR3TJMIQ==
csjjirAUKtT5HT1KZUq1kg==
8qZdCatCPQZyS7jsO4hkdQ==
esnUxcBhvH1DmCJTeld0qw==

52
gpt4free/quora/graphql/AddHumanMessageMutation.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,52 @@
mutation AddHumanMessageMutation(
$chatId: BigInt!
$bot: String!
$query: String!
$source: MessageSource
$withChatBreak: Boolean! = false
) {
messageCreateWithStatus(
chatId: $chatId
bot: $bot
query: $query
source: $source
withChatBreak: $withChatBreak
) {
message {
id
__typename
messageId
text
linkifiedText
authorNickname
state
vote
voteReason
creationTime
suggestedReplies
chat {
id
shouldShowDisclaimer
}
}
messageLimit{
canSend
numMessagesRemaining
resetTime
shouldShowReminder
}
chatBreak {
id
__typename
messageId
text
linkifiedText
authorNickname
state
vote
voteReason
creationTime
suggestedReplies
}
}
}

17
gpt4free/quora/graphql/AddMessageBreakMutation.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,17 @@
mutation AddMessageBreakMutation($chatId: BigInt!) {
messageBreakCreate(chatId: $chatId) {
message {
id
__typename
messageId
text
linkifiedText
authorNickname
state
vote
voteReason
creationTime
suggestedReplies
}
}
}

7
gpt4free/quora/graphql/AutoSubscriptionMutation.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,7 @@
mutation AutoSubscriptionMutation($subscriptions: [AutoSubscriptionQuery!]!) {
autoSubscribe(subscriptions: $subscriptions) {
viewer {
id
}
}
}

8
gpt4free/quora/graphql/BioFragment.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,8 @@
fragment BioFragment on Viewer {
id
poeUser {
id
uid
bio
}
}

5
gpt4free/quora/graphql/ChatAddedSubscription.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,5 @@
subscription ChatAddedSubscription {
chatAdded {
...ChatFragment
}
}

6
gpt4free/quora/graphql/ChatFragment.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,6 @@
fragment ChatFragment on Chat {
id
chatId
defaultBotNickname
shouldShowDisclaimer
}

378
gpt4free/quora/graphql/ChatListPaginationQuery.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,378 @@
query ChatListPaginationQuery(
$count: Int = 5
$cursor: String
$id: ID!
) {
node(id: $id) {
__typename
...ChatPageMain_chat_1G22uz
id
}
}
fragment BotImage_bot on Bot {
displayName
...botHelpers_useDeletion_bot
...BotImage_useProfileImage_bot
}
fragment BotImage_useProfileImage_bot on Bot {
image {
__typename
... on LocalBotImage {
localName
}
... on UrlBotImage {
url
}
}
...botHelpers_useDeletion_bot
}
fragment ChatMessageDownvotedButton_message on Message {
...MessageFeedbackReasonModal_message
...MessageFeedbackOtherModal_message
}
fragment ChatMessageDropdownMenu_message on Message {
id
messageId
vote
text
author
...chatHelpers_isBotMessage
}
fragment ChatMessageFeedbackButtons_message on Message {
id
messageId
vote
voteReason
...ChatMessageDownvotedButton_message
}
fragment ChatMessageInputView_chat on Chat {
id
chatId
defaultBotObject {
nickname
messageLimit {
dailyBalance
shouldShowRemainingMessageCount
}
hasClearContext
isDown
...botHelpers_useDeletion_bot
id
}
shouldShowDisclaimer
...chatHelpers_useSendMessage_chat
...chatHelpers_useSendChatBreak_chat
}
fragment ChatMessageInputView_edges on MessageEdge {
node {
...chatHelpers_isChatBreak
...chatHelpers_isHumanMessage
state
text
id
}
}
fragment ChatMessageOverflowButton_message on Message {
text
...ChatMessageDropdownMenu_message
...chatHelpers_isBotMessage
}
fragment ChatMessageSuggestedReplies_SuggestedReplyButton_chat on Chat {
...chatHelpers_useSendMessage_chat
}
fragment ChatMessageSuggestedReplies_SuggestedReplyButton_message on Message {
messageId
}
fragment ChatMessageSuggestedReplies_chat on Chat {
...ChatWelcomeView_chat
...ChatMessageSuggestedReplies_SuggestedReplyButton_chat
defaultBotObject {
hasWelcomeTopics
id
}
}
fragment ChatMessageSuggestedReplies_message on Message {
suggestedReplies
...ChatMessageSuggestedReplies_SuggestedReplyButton_message
}
fragment ChatMessage_chat on Chat {
defaultBotObject {
hasWelcomeTopics
hasSuggestedReplies
disclaimerText
messageLimit {
...ChatPageRateLimitedBanner_messageLimit
}
...ChatPageDisclaimer_bot
id
}
...ChatMessageSuggestedReplies_chat
...ChatWelcomeView_chat
}
fragment ChatMessage_message on Message {
id
messageId
text
author
linkifiedText
state
contentType
...ChatMessageSuggestedReplies_message
...ChatMessageFeedbackButtons_message
...ChatMessageOverflowButton_message
...chatHelpers_isHumanMessage
...chatHelpers_isBotMessage
...chatHelpers_isChatBreak
...chatHelpers_useTimeoutLevel
...MarkdownLinkInner_message
...IdAnnotation_node
}
fragment ChatMessagesView_chat on Chat {
...ChatMessage_chat
...ChatWelcomeView_chat
...IdAnnotation_node
defaultBotObject {
hasWelcomeTopics
messageLimit {
...ChatPageRateLimitedBanner_messageLimit
}
id
}
}
fragment ChatMessagesView_edges on MessageEdge {
node {
id
messageId
creationTime
...ChatMessage_message
...chatHelpers_isBotMessage
...chatHelpers_isHumanMessage
...chatHelpers_isChatBreak
}
}
fragment ChatPageDeleteFooter_chat on Chat {
...MessageDeleteConfirmationModal_chat
}
fragment ChatPageDisclaimer_bot on Bot {
disclaimerText
}
fragment ChatPageMainFooter_chat on Chat {
defaultBotObject {
...ChatPageMainFooter_useAccessMessage_bot
id
}
...ChatMessageInputView_chat
...ChatPageShareFooter_chat
...ChatPageDeleteFooter_chat
}
fragment ChatPageMainFooter_edges on MessageEdge {
...ChatMessageInputView_edges
}
fragment ChatPageMainFooter_useAccessMessage_bot on Bot {
...botHelpers_useDeletion_bot
...botHelpers_useViewerCanAccessPrivateBot
}
fragment ChatPageMain_chat_1G22uz on Chat {
id
chatId
...ChatPageShareFooter_chat
...ChatPageDeleteFooter_chat
...ChatMessagesView_chat
...MarkdownLinkInner_chat
...chatHelpers_useUpdateStaleChat_chat
...ChatSubscriptionPaywallContextWrapper_chat
...ChatPageMainFooter_chat
messagesConnection(last: $count, before: $cursor) {
edges {
...ChatMessagesView_edges
...ChatPageMainFooter_edges
...MarkdownLinkInner_edges
node {
...chatHelpers_useUpdateStaleChat_message
id
__typename
}
cursor
id
}
pageInfo {
hasPreviousPage
startCursor
}
id
}
}
fragment ChatPageRateLimitedBanner_messageLimit on MessageLimit {
numMessagesRemaining
}
fragment ChatPageShareFooter_chat on Chat {
chatId
}
fragment ChatSubscriptionPaywallContextWrapper_chat on Chat {
defaultBotObject {
messageLimit {
numMessagesRemaining
shouldShowRemainingMessageCount
}
...SubscriptionPaywallModal_bot
id
}
}
fragment ChatWelcomeView_ChatWelcomeButton_chat on Chat {
...chatHelpers_useSendMessage_chat
}
fragment ChatWelcomeView_chat on Chat {
...ChatWelcomeView_ChatWelcomeButton_chat
defaultBotObject {
displayName
id
}
}
fragment IdAnnotation_node on Node {
__isNode: __typename
id
}
fragment MarkdownLinkInner_chat on Chat {
id
chatId
defaultBotObject {
nickname
id
}
...chatHelpers_useSendMessage_chat
}
fragment MarkdownLinkInner_edges on MessageEdge {
node {
state
id
}
}
fragment MarkdownLinkInner_message on Message {
messageId
}
fragment MessageDeleteConfirmationModal_chat on Chat {
id
}
fragment MessageFeedbackOtherModal_message on Message {
id
messageId
}
fragment MessageFeedbackReasonModal_message on Message {
id
messageId
}
fragment SubscriptionPaywallModal_bot on Bot {
displayName
messageLimit {
dailyLimit
numMessagesRemaining
shouldShowRemainingMessageCount
resetTime
}
...BotImage_bot
}
fragment botHelpers_useDeletion_bot on Bot {
deletionState
}
fragment botHelpers_useViewerCanAccessPrivateBot on Bot {
isPrivateBot
viewerIsCreator
}
fragment chatHelpers_isBotMessage on Message {
...chatHelpers_isHumanMessage
...chatHelpers_isChatBreak
}
fragment chatHelpers_isChatBreak on Message {
author
}
fragment chatHelpers_isHumanMessage on Message {
author
}
fragment chatHelpers_useSendChatBreak_chat on Chat {
id
chatId
defaultBotObject {
nickname
introduction
model
id
}
shouldShowDisclaimer
}
fragment chatHelpers_useSendMessage_chat on Chat {
id
chatId
defaultBotObject {
id
nickname
}
shouldShowDisclaimer
}
fragment chatHelpers_useTimeoutLevel on Message {
id
state
text
messageId
chat {
chatId
defaultBotNickname
id
}
}
fragment chatHelpers_useUpdateStaleChat_chat on Chat {
chatId
defaultBotObject {
contextClearWindowSecs
id
}
...chatHelpers_useSendChatBreak_chat
}
fragment chatHelpers_useUpdateStaleChat_message on Message {
creationTime
...chatHelpers_isChatBreak
}

26
gpt4free/quora/graphql/ChatPaginationQuery.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,26 @@
query ChatPaginationQuery($bot: String!, $before: String, $last: Int! = 10) {
chatOfBot(bot: $bot) {
id
__typename
messagesConnection(before: $before, last: $last) {
pageInfo {
hasPreviousPage
}
edges {
node {
id
__typename
messageId
text
linkifiedText
authorNickname
state
vote
voteReason
creationTime
suggestedReplies
}
}
}
}
}

8
gpt4free/quora/graphql/ChatViewQuery.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,8 @@
query ChatViewQuery($bot: String!) {
chatOfBot(bot: $bot) {
id
chatId
defaultBotNickname
shouldShowDisclaimer
}
}

7
gpt4free/quora/graphql/DeleteHumanMessagesMutation.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,7 @@
mutation DeleteHumanMessagesMutation($messageIds: [BigInt!]!) {
messagesDelete(messageIds: $messageIds) {
viewer {
id
}
}
}

7
gpt4free/quora/graphql/DeleteMessageMutation.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,7 @@
mutation deleteMessageMutation(
$messageIds: [BigInt!]!
) {
messagesDelete(messageIds: $messageIds) {
edgeIds
}
}

8
gpt4free/quora/graphql/HandleFragment.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,8 @@
fragment HandleFragment on Viewer {
id
poeUser {
id
uid
handle
}
}

13
gpt4free/quora/graphql/LoginWithVerificationCodeMutation.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,13 @@
mutation LoginWithVerificationCodeMutation(
$verificationCode: String!
$emailAddress: String
$phoneNumber: String
) {
loginWithVerificationCode(
verificationCode: $verificationCode
emailAddress: $emailAddress
phoneNumber: $phoneNumber
) {
status
}
}

100
gpt4free/quora/graphql/MessageAddedSubscription.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,100 @@
subscription messageAdded (
$chatId: BigInt!
) {
messageAdded(chatId: $chatId) {
id
messageId
creationTime
state
...ChatMessage_message
...chatHelpers_isBotMessage
}
}
fragment ChatMessageDownvotedButton_message on Message {
...MessageFeedbackReasonModal_message
...MessageFeedbackOtherModal_message
}
fragment ChatMessageDropdownMenu_message on Message {
id
messageId
vote
text
linkifiedText
...chatHelpers_isBotMessage
}
fragment ChatMessageFeedbackButtons_message on Message {
id
messageId
vote
voteReason
...ChatMessageDownvotedButton_message
}
fragment ChatMessageOverflowButton_message on Message {
text
...ChatMessageDropdownMenu_message
...chatHelpers_isBotMessage
}
fragment ChatMessageSuggestedReplies_SuggestedReplyButton_message on Message {
messageId
}
fragment ChatMessageSuggestedReplies_message on Message {
suggestedReplies
...ChatMessageSuggestedReplies_SuggestedReplyButton_message
}
fragment ChatMessage_message on Message {
id
messageId
text
author
linkifiedText
state
...ChatMessageSuggestedReplies_message
...ChatMessageFeedbackButtons_message
...ChatMessageOverflowButton_message
...chatHelpers_isHumanMessage
...chatHelpers_isBotMessage
...chatHelpers_isChatBreak
...chatHelpers_useTimeoutLevel
...MarkdownLinkInner_message
}
fragment MarkdownLinkInner_message on Message {
messageId
}
fragment MessageFeedbackOtherModal_message on Message {
id
messageId
}
fragment MessageFeedbackReasonModal_message on Message {
id
messageId
}
fragment chatHelpers_isBotMessage on Message {
...chatHelpers_isHumanMessage
...chatHelpers_isChatBreak
}
fragment chatHelpers_isChatBreak on Message {
author
}
fragment chatHelpers_isHumanMessage on Message {
author
}
fragment chatHelpers_useTimeoutLevel on Message {
id
state
text
messageId
}

6
gpt4free/quora/graphql/MessageDeletedSubscription.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,6 @@
subscription MessageDeletedSubscription($chatId: BigInt!) {
messageDeleted(chatId: $chatId) {
id
messageId
}
}

13
gpt4free/quora/graphql/MessageFragment.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,13 @@
fragment MessageFragment on Message {
id
__typename
messageId
text
linkifiedText
authorNickname
state
vote
voteReason
creationTime
suggestedReplies
}

7
gpt4free/quora/graphql/MessageRemoveVoteMutation.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,7 @@
mutation MessageRemoveVoteMutation($messageId: BigInt!) {
messageRemoveVote(messageId: $messageId) {
message {
...MessageFragment
}
}
}

7
gpt4free/quora/graphql/MessageSetVoteMutation.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,7 @@
mutation MessageSetVoteMutation($messageId: BigInt!, $voteType: VoteType!, $reason: String) {
messageSetVote(messageId: $messageId, voteType: $voteType, reason: $reason) {
message {
...MessageFragment
}
}
}

73
gpt4free/quora/graphql/PoeBotCreateMutation.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,73 @@
mutation CreateBotMain_poeBotCreate_Mutation(
$model: String!
$handle: String!
$prompt: String!
$isPromptPublic: Boolean!
$introduction: String!
$description: String!
$profilePictureUrl: String
$apiUrl: String
$apiKey: String
$isApiBot: Boolean
$hasLinkification: Boolean
$hasMarkdownRendering: Boolean
$hasSuggestedReplies: Boolean
$isPrivateBot: Boolean
) {
poeBotCreate(model: $model, handle: $handle, promptPlaintext: $prompt, isPromptPublic: $isPromptPublic, introduction: $introduction, description: $description, profilePicture: $profilePictureUrl, apiUrl: $apiUrl, apiKey: $apiKey, isApiBot: $isApiBot, hasLinkification: $hasLinkification, hasMarkdownRendering: $hasMarkdownRendering, hasSuggestedReplies: $hasSuggestedReplies, isPrivateBot: $isPrivateBot) {
status
bot {
id
...BotHeader_bot
}
}
}
fragment BotHeader_bot on Bot {
displayName
messageLimit {
dailyLimit
}
...BotImage_bot
...BotLink_bot
...IdAnnotation_node
...botHelpers_useViewerCanAccessPrivateBot
...botHelpers_useDeletion_bot
}
fragment BotImage_bot on Bot {
displayName
...botHelpers_useDeletion_bot
...BotImage_useProfileImage_bot
}
fragment BotImage_useProfileImage_bot on Bot {
image {
__typename
... on LocalBotImage {
localName
}
... on UrlBotImage {
url
}
}
...botHelpers_useDeletion_bot
}
fragment BotLink_bot on Bot {
displayName
}
fragment IdAnnotation_node on Node {
__isNode: __typename
id
}
fragment botHelpers_useDeletion_bot on Bot {
deletionState
}
fragment botHelpers_useViewerCanAccessPrivateBot on Bot {
isPrivateBot
viewerIsCreator
}

24
gpt4free/quora/graphql/PoeBotEditMutation.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,24 @@
mutation EditBotMain_poeBotEdit_Mutation(
$botId: BigInt!
$handle: String!
$description: String!
$introduction: String!
$isPromptPublic: Boolean!
$baseBot: String!
$profilePictureUrl: String
$prompt: String!
$apiUrl: String
$apiKey: String
$hasLinkification: Boolean
$hasMarkdownRendering: Boolean
$hasSuggestedReplies: Boolean
$isPrivateBot: Boolean
) {
poeBotEdit(botId: $botId, handle: $handle, description: $description, introduction: $introduction, isPromptPublic: $isPromptPublic, model: $baseBot, promptPlaintext: $prompt, profilePicture: $profilePictureUrl, apiUrl: $apiUrl, apiKey: $apiKey, hasLinkification: $hasLinkification, hasMarkdownRendering: $hasMarkdownRendering, hasSuggestedReplies: $hasSuggestedReplies, isPrivateBot: $isPrivateBot) {
status
bot {
handle
id
}
}
}

40
gpt4free/quora/graphql/SendMessageMutation.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,40 @@
mutation chatHelpers_sendMessageMutation_Mutation(
$chatId: BigInt!
$bot: String!
$query: String!
$source: MessageSource
$withChatBreak: Boolean!
) {
messageEdgeCreate(chatId: $chatId, bot: $bot, query: $query, source: $source, withChatBreak: $withChatBreak) {
chatBreak {
cursor
node {
id
messageId
text
author
suggestedReplies
creationTime
state
}
id
}
message {
cursor
node {
id
messageId
text
author
suggestedReplies
creationTime
state
chat {
shouldShowDisclaimer
id
}
}
id
}
}
}

12
gpt4free/quora/graphql/SendVerificationCodeForLoginMutation.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,12 @@
mutation SendVerificationCodeForLoginMutation(
$emailAddress: String
$phoneNumber: String
) {
sendVerificationCode(
verificationReason: login
emailAddress: $emailAddress
phoneNumber: $phoneNumber
) {
status
}
}

9
gpt4free/quora/graphql/ShareMessagesMutation.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,9 @@
mutation ShareMessagesMutation(
$chatId: BigInt!
$messageIds: [BigInt!]!
$comment: String
) {
messagesShare(chatId: $chatId, messageIds: $messageIds, comment: $comment) {
shareCode
}
}

13
gpt4free/quora/graphql/SignupWithVerificationCodeMutation.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,13 @@
mutation SignupWithVerificationCodeMutation(
$verificationCode: String!
$emailAddress: String
$phoneNumber: String
) {
signupWithVerificationCode(
verificationCode: $verificationCode
emailAddress: $emailAddress
phoneNumber: $phoneNumber
) {
status
}
}

7
gpt4free/quora/graphql/StaleChatUpdateMutation.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,7 @@
mutation StaleChatUpdateMutation($chatId: BigInt!) {
staleChatUpdate(chatId: $chatId) {
message {
...MessageFragment
}
}
}

9
gpt4free/quora/graphql/SubscriptionsMutation.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,9 @@
mutation subscriptionsMutation(
$subscriptions: [AutoSubscriptionQuery!]!
) {
autoSubscribe(subscriptions: $subscriptions) {
viewer {
id
}
}
}

3
gpt4free/quora/graphql/SummarizePlainPostQuery.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,3 @@
query SummarizePlainPostQuery($comment: String!) {
summarizePlainPost(comment: $comment)
}

3
gpt4free/quora/graphql/SummarizeQuotePostQuery.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,3 @@
query SummarizeQuotePostQuery($comment: String, $quotedPostId: BigInt!) {
summarizeQuotePost(comment: $comment, quotedPostId: $quotedPostId)
}

3
gpt4free/quora/graphql/SummarizeSharePostQuery.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,3 @@
query SummarizeSharePostQuery($comment: String!, $chatId: BigInt!, $messageIds: [BigInt!]!) {
summarizeSharePost(comment: $comment, chatId: $chatId, messageIds: $messageIds)
}

14
gpt4free/quora/graphql/UserSnippetFragment.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,14 @@
fragment UserSnippetFragment on PoeUser {
id
uid
bio
handle
fullName
viewerIsFollowing
isPoeOnlyUser
profilePhotoURLTiny: profilePhotoUrl(size: tiny)
profilePhotoURLSmall: profilePhotoUrl(size: small)
profilePhotoURLMedium: profilePhotoUrl(size: medium)
profilePhotoURLLarge: profilePhotoUrl(size: large)
isFollowable
}

21
gpt4free/quora/graphql/ViewerInfoQuery.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,21 @@
query ViewerInfoQuery {
viewer {
id
uid
...ViewerStateFragment
...BioFragment
...HandleFragment
hasCompletedMultiplayerNux
poeUser {
id
...UserSnippetFragment
}
messageLimit{
canSend
numMessagesRemaining
resetTime
shouldShowReminder
}
}
}

30
gpt4free/quora/graphql/ViewerStateFragment.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,30 @@
fragment ViewerStateFragment on Viewer {
id
__typename
iosMinSupportedVersion: integerGate(gateName: "poe_ios_min_supported_version")
iosMinEncouragedVersion: integerGate(
gateName: "poe_ios_min_encouraged_version"
)
macosMinSupportedVersion: integerGate(
gateName: "poe_macos_min_supported_version"
)
macosMinEncouragedVersion: integerGate(
gateName: "poe_macos_min_encouraged_version"
)
showPoeDebugPanel: booleanGate(gateName: "poe_show_debug_panel")
enableCommunityFeed: booleanGate(gateName: "enable_poe_shares_feed")
linkifyText: booleanGate(gateName: "poe_linkify_response")
enableSuggestedReplies: booleanGate(gateName: "poe_suggested_replies")
removeInviteLimit: booleanGate(gateName: "poe_remove_invite_limit")
enableInAppPurchases: booleanGate(gateName: "poe_enable_in_app_purchases")
availableBots {
nickname
displayName
profilePicture
isDown
disclaimer
subtitle
poweredBy
}
}

43
gpt4free/quora/graphql/ViewerStateUpdatedSubscription.graphql ノーマルファイル
ファイルの表示

@ -0,0 +1,43 @@
subscription viewerStateUpdated {
viewerStateUpdated {
id
...ChatPageBotSwitcher_viewer
}
}
fragment BotHeader_bot on Bot {
displayName
messageLimit {
dailyLimit
}
...BotImage_bot
}
fragment BotImage_bot on Bot {
image {
__typename
... on LocalBotImage {
localName
}
... on UrlBotImage {
url
}
}
displayName
}
fragment BotLink_bot on Bot {
displayName
}
fragment ChatPageBotSwitcher_viewer on Viewer {
availableBots {
id
messageLimit {
dailyLimit
}
...BotLink_bot
...BotHeader_bot
}
allowUserCreatedBots: booleanGate(gateName: "enable_user_created_bots")
}

0
gpt4free/quora/graphql/__init__.py ノーマルファイル
ファイルの表示

80
gpt4free/quora/mail.py ノーマルファイル
ファイルの表示

@ -0,0 +1,80 @@
from json import loads
from re import findall
from time import sleep
from fake_useragent import UserAgent
from requests import Session
class Emailnator:
def __init__(self) -> None:
self.client = Session()
self.client.get("https://www.emailnator.com/", timeout=6)
self.cookies = self.client.cookies.get_dict()
self.client.headers = {
"authority": "www.emailnator.com",
"origin": "https://www.emailnator.com",
"referer": "https://www.emailnator.com/",
"user-agent": UserAgent().random,
"x-xsrf-token": self.client.cookies.get("XSRF-TOKEN")[:-3] + "=",
}
self.email = None
def get_mail(self):
response = self.client.post(
"https://www.emailnator.com/generate-email",
json={
"email": [
"domain",
"plusGmail",
"dotGmail",
]
},
)
self.email = loads(response.text)["email"][0]
return self.email
def get_message(self):
print("Waiting for message...")
while True:
sleep(2)
mail_token = self.client.post("https://www.emailnator.com/message-list", json={"email": self.email})
mail_token = loads(mail_token.text)["messageData"]
if len(mail_token) == 2:
print("Message received!")
print(mail_token[1]["messageID"])
break
mail_context = self.client.post(
"https://www.emailnator.com/message-list",
json={
"email": self.email,
"messageID": mail_token[1]["messageID"],
},
)
return mail_context.text
def get_verification_code(self):
message = self.get_message()
code = findall(r';">(\d{6,7})</div>', message)[0]
print(f"Verification code: {code}")
return code
def clear_inbox(self):
print("Clearing inbox...")
self.client.post(
"https://www.emailnator.com/delete-all",
json={"email": self.email},
)
print("Inbox cleared!")
def __del__(self):
if self.email:
self.clear_inbox()

11
gpt4free/theb/README.md ノーマルファイル
ファイルの表示

@ -0,0 +1,11 @@
### Example: `theb` (use like openai pypi package) <a name="example-theb"></a>
```python
# import library
from gpt4free import theb
# simple streaming completion
for token in theb.Completion.create('hello world'):
print(token, end='', flush=True)
print("")
```

57
gpt4free/theb/__init__.py ノーマルファイル
ファイルの表示

@ -0,0 +1,57 @@
from json import loads
from queue import Queue, Empty
from re import findall
from threading import Thread
from typing import Generator, Optional
from curl_cffi import requests
from fake_useragent import UserAgent
class Completion:
# experimental
part1 = '{"role":"assistant","id":"chatcmpl'
part2 = '"},"index":0,"finish_reason":null}]}}'
regex = rf'{part1}(.*){part2}'
timer = None
message_queue = Queue()
stream_completed = False
@staticmethod
def request(prompt: str, proxy: Optional[str]=None):
headers = {
'authority': 'chatbot.theb.ai',
'content-type': 'application/json',
'origin': 'https://chatbot.theb.ai',
'user-agent': UserAgent().random,
}
proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else None
requests.post(
'https://chatbot.theb.ai/api/chat-process',
headers=headers,
proxies=proxies,
content_callback=Completion.handle_stream_response,
json={'prompt': prompt, 'options': {}},
)
Completion.stream_completed = True
@staticmethod
def create(prompt: str, proxy: Optional[str]=None) -> Generator[str, None, None]:
Thread(target=Completion.request, args=[prompt, proxy]).start()
while not Completion.stream_completed or not Completion.message_queue.empty():
try:
message = Completion.message_queue.get(timeout=0.01)
for message in findall(Completion.regex, message):
yield loads(Completion.part1 + message + Completion.part2)['delta']
except Empty:
pass
@staticmethod
def handle_stream_response(response):
Completion.message_queue.put(response.decode())

4
gpt4free/theb/theb_test.py ノーマルファイル
ファイルの表示

@ -0,0 +1,4 @@
import theb
for token in theb.Completion.create('hello world'):
print(token, end='', flush=True)

23
gpt4free/usesless/README.md ノーマルファイル
ファイルの表示

@ -0,0 +1,23 @@
ai.usesless.com
to do:
- use random user agent in header
- make the code better I guess (?)
### Example: `usesless` <a name="example-usesless"></a>
```python
import usesless
message_id = ""
while True:
prompt = input("Question: ")
if prompt == "!stop":
break
req = usesless.Completion.create(prompt=prompt, parentMessageId=message_id)
print(f"Answer: {req['text']}")
message_id = req["id"]
```

55
gpt4free/usesless/__init__.py ノーマルファイル
ファイルの表示

@ -0,0 +1,55 @@
import requests
import json
class Completion:
headers = {
"authority": "ai.usesless.com",
"accept": "application/json, text/plain, */*",
"accept-language": "en-US,en;q=0.5",
"cache-control": "no-cache",
"sec-fetch-dest": "empty",
"sec-fetch-mode": "cors",
"sec-fetch-site": "same-origin",
"user-agent": "Mozilla/5.0 (X11; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/112.0",
}
@staticmethod
def create(
systemMessage: str = "You are a helpful assistant",
prompt: str = "",
parentMessageId: str = "",
presence_penalty: float = 1,
temperature: float = 1,
model: str = "gpt-3.5-turbo",
):
print(parentMessageId, prompt)
json_data = {
"openaiKey": "",
"prompt": prompt,
"options": {
"parentMessageId": parentMessageId,
"systemMessage": systemMessage,
"completionParams": {
"presence_penalty": presence_penalty,
"temperature": temperature,
"model": model,
},
},
}
url = "https://ai.usesless.com/api/chat-process"
request = requests.post(url, headers=Completion.headers, json=json_data)
content = request.content
response = Completion.__response_to_json(content)
return response
@classmethod
def __response_to_json(cls, text) -> dict:
text = str(text.decode("utf-8"))
split_text = text.rsplit("\n", 1)[1]
to_json = json.loads(split_text)
return to_json

38
gpt4free/you/README.md ノーマルファイル
ファイルの表示

@ -0,0 +1,38 @@
### Example: `you` (use like openai pypi package) <a name="example-you"></a>
```python
from gpt4free import you
# simple request with links and details
response = you.Completion.create(
prompt="hello world",
detailed=True,
include_links=True, )
print(response.dict())
# {
# "response": "...",
# "links": [...],
# "extra": {...},
# "slots": {...}
# }
# }
# chatbot
chat = []
while True:
prompt = input("You: ")
if prompt == 'q':
break
response = you.Completion.create(
prompt=prompt,
chat=chat)
print("Bot:", response.text)
chat.append({"question": prompt, "answer": response.text})
```

112
gpt4free/you/__init__.py ノーマルファイル
ファイルの表示

@ -0,0 +1,112 @@
import json
import re
from typing import Optional, List, Dict, Any
from uuid import uuid4
from fake_useragent import UserAgent
from pydantic import BaseModel
from tls_client import Session
class PoeResponse(BaseModel):
text: Optional[str] = None
links: List[str] = []
extra: Dict[str, Any] = {}
class Completion:
@staticmethod
def create(
prompt: str,
page: int = 1,
count: int = 10,
safe_search: str = 'Moderate',
on_shopping_page: bool = False,
mkt: str = '',
response_filter: str = 'WebPages,Translations,TimeZone,Computation,RelatedSearches',
domain: str = 'youchat',
query_trace_id: str = None,
chat: list = None,
include_links: bool = False,
detailed: bool = False,
debug: bool = False,
proxy: Optional[str] = None
) -> PoeResponse:
if chat is None:
chat = []
proxies = { 'http': 'http://' + proxy, 'https': 'http://' + proxy } if proxy else {}
client = Session(client_identifier='chrome_108')
client.headers = Completion.__get_headers()
client.proxies = proxies
response = client.get(
f'https://you.com/api/streamingSearch',
params={
'q': prompt,
'page': page,
'count': count,
'safeSearch': safe_search,
'onShoppingPage': on_shopping_page,
'mkt': mkt,
'responseFilter': response_filter,
'domain': domain,
'queryTraceId': str(uuid4()) if query_trace_id is None else query_trace_id,
'chat': str(chat), # {'question':'','answer':' ''}
},
)
if debug:
print('\n\n------------------\n\n')
print(response.text)
print('\n\n------------------\n\n')
if 'youChatToken' not in response.text:
return Completion.__get_failure_response()
you_chat_serp_results = re.search(
r'(?<=event: youChatSerpResults\ndata:)(.*\n)*?(?=event: )', response.text
).group()
third_party_search_results = re.search(
r'(?<=event: thirdPartySearchResults\ndata:)(.*\n)*?(?=event: )', response.text
).group()
# slots = findall(r"slots\ndata: (.*)\n\nevent", response.text)[0]
text = ''.join(re.findall(r'{\"youChatToken\": \"(.*?)\"}', response.text))
extra = {
'youChatSerpResults': json.loads(you_chat_serp_results),
# 'slots' : loads(slots)
}
response = PoeResponse(text=text.replace('\\n', '\n').replace('\\\\', '\\').replace('\\"', '"'))
if include_links:
response.links = json.loads(third_party_search_results)['search']['third_party_search_results']
if detailed:
response.extra = extra
return response
@staticmethod
def __get_headers() -> dict:
return {
'authority': 'you.com',
'accept': 'text/event-stream',
'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
'cache-control': 'no-cache',
'referer': 'https://you.com/search?q=who+are+you&tbm=youchat',
'sec-ch-ua': '"Not_A Brand";v="99", "Google Chrome";v="109", "Chromium";v="109"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"Windows"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-origin',
'cookie': f'safesearch_guest=Moderate; uuid_guest={str(uuid4())}',
'user-agent': UserAgent().random,
}
@staticmethod
def __get_failure_response() -> PoeResponse:
return PoeResponse(text='Unable to fetch the response, Please try again.')

72
gui/README.md ノーマルファイル
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# gpt4free gui
This code provides a Graphical User Interface (GUI) for gpt4free. Users can ask questions and get answers from GPT-4 API's, utilizing multiple API implementations. The project contains two different Streamlit applications: `streamlit_app.py` and `streamlit_chat_app.py`.
Installation
------------
1. Clone the repository.
2. Install the required dependencies with: `pip install -r requirements.txt`.
3. To use `streamlit_chat_app.py`, note that it depends on a pull request (PR #24) from the https://github.com/AI-Yash/st-chat/ repository, which may change in the future. The current dependency library can be found at https://github.com/AI-Yash/st-chat/archive/refs/pull/24/head.zip.
Usage
-----
Choose one of the Streamlit applications to run:
### streamlit\_app.py
This application provides a simple interface for asking GPT-4 questions and receiving answers.
To run the application:
run:
```arduino
streamlit run gui/streamlit_app.py
```
<br>
<img width="724" alt="image" src="https://user-images.githubusercontent.com/98614666/234232449-0d5cd092-a29d-4759-8197-e00ba712cb1a.png">
<br>
<br>
preview:
<img width="1125" alt="image" src="https://user-images.githubusercontent.com/98614666/234232398-09e9d3c5-08e6-4b8a-b4f2-0666e9790c7d.png">
### streamlit\_chat\_app.py
This application provides a chat-like interface for asking GPT-4 questions and receiving answers. It supports multiple query methods, and users can select the desired API for their queries. The application also maintains a conversation history.
To run the application:
```arduino
streamlit run streamlit_chat_app.py
```
<br>
<img width="724" alt="image" src="image1.png">
<br>
<br>
preview:
<img width="1125" alt="image" src="image2.png">
Contributing
------------
Feel free to submit pull requests, report bugs, or request new features by opening issues on the GitHub repository.
Bug
----
There is a bug in `streamlit_chat_app.py` right now that I haven't pinpointed yet, probably is really simple but havent had the time to look for it. Whenever you open a new conversation or access an old conversation it will only start prompt-answering after the second time you input to the text input, other than that, everything else seems to work accordingly.
License
-------
This project is licensed under the MIT License.

0
gui/__init__.py ノーマルファイル
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100
gui/query_methods.py ノーマルファイル
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import os
import sys
from typing import Optional
sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
from gpt4free import quora, forefront, theb, you
import random
def query_forefront(question: str, proxy: Optional[str] = None) -> str:
# create an account
token = forefront.Account.create(logging=False, proxy=proxy)
response = ""
# get a response
try:
return forefront.Completion.create(token=token, prompt='hello world', model='gpt-4', proxy=proxy).text
except Exception as e:
# Return error message if an exception occurs
return (
f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.'
)
def query_quora(question: str, proxy: Optional[str] = None) -> str:
token = quora.Account.create(logging=False, enable_bot_creation=True, proxy=proxy)
return quora.Completion.create(model='gpt-4', prompt=question, token=token, proxy=proxy).text
def query_theb(question: str, proxy: Optional[str] = None) -> str:
# Set cloudflare clearance cookie and get answer from GPT-4 model
response = ""
try:
return ''.join(theb.Completion.create(prompt=question, proxy=proxy))
except Exception as e:
# Return error message if an exception occurs
return (
f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.'
)
def query_you(question: str, proxy: Optional[str] = None) -> str:
# Set cloudflare clearance cookie and get answer from GPT-4 model
try:
result = you.Completion.create(prompt=question, proxy=proxy)
return result.text
except Exception as e:
# Return error message if an exception occurs
return (
f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.'
)
# Define a dictionary containing all query methods
avail_query_methods = {
"Forefront": query_forefront,
"Poe": query_quora,
"Theb": query_theb,
"You": query_you,
# "Writesonic": query_writesonic,
# "T3nsor": query_t3nsor,
# "Phind": query_phind,
# "Ora": query_ora,
}
def query(user_input: str, selected_method: str = "Random", proxy: Optional[str] = None) -> str:
# If a specific query method is selected (not "Random") and the method is in the dictionary, try to call it
if selected_method != "Random" and selected_method in avail_query_methods:
try:
return avail_query_methods[selected_method](user_input, proxy=proxy)
except Exception as e:
print(f"Error with {selected_method}: {e}")
return "😵 Sorry, some error occurred please try again."
# Initialize variables for determining success and storing the result
success = False
result = "😵 Sorry, some error occurred please try again."
# Create a list of available query methods
query_methods_list = list(avail_query_methods.values())
# Continue trying different methods until a successful result is obtained or all methods have been tried
while not success and query_methods_list:
# Choose a random method from the list
chosen_query = random.choice(query_methods_list)
# Find the name of the chosen method
chosen_query_name = [k for k, v in avail_query_methods.items() if v == chosen_query][0]
try:
# Try to call the chosen method with the user input
result = chosen_query(user_input, proxy=proxy)
success = True
except Exception as e:
print(f"Error with {chosen_query_name}: {e}")
# Remove the failed method from the list of available methods
query_methods_list.remove(chosen_query)
return result

52
gui/streamlit_app.py ノーマルファイル
ファイルの表示

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import os
import sys
sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
import streamlit as st
from gpt4free import you
def get_answer(question: str) -> str:
# Set cloudflare clearance cookie and get answer from GPT-4 model
try:
result = you.Completion.create(prompt=question)
return result.text
except Exception as e:
# Return error message if an exception occurs
return (
f'An error occurred: {e}. Please make sure you are using a valid cloudflare clearance token and user agent.'
)
# Set page configuration and add header
st.set_page_config(
page_title="gpt4freeGUI",
initial_sidebar_state="expanded",
page_icon="🧠",
menu_items={
'Get Help': 'https://github.com/xtekky/gpt4free/blob/main/README.md',
'Report a bug': "https://github.com/xtekky/gpt4free/issues",
'About': "### gptfree GUI",
},
)
st.header('GPT4free GUI')
# Add text area for user input and button to get answer
question_text_area = st.text_area('🤖 Ask Any Question :', placeholder='Explain quantum computing in 50 words')
if st.button('🧠 Think'):
answer = get_answer(question_text_area)
escaped = answer.encode('utf-8').decode('unicode-escape')
# Display answer
st.caption("Answer :")
st.markdown(escaped)
# Hide Streamlit footer
hide_streamlit_style = """
<style>
footer {visibility: hidden;}
</style>
"""
st.markdown(hide_streamlit_style, unsafe_allow_html=True)

118
gui/streamlit_chat_app.py ノーマルファイル
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import atexit
import os
import sys
sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
import streamlit as st
from streamlit_chat import message
from query_methods import query, avail_query_methods
import pickle
conversations_file = "conversations.pkl"
def load_conversations():
try:
with open(conversations_file, "rb") as f:
return pickle.load(f)
except FileNotFoundError:
return []
except EOFError:
return []
def save_conversations(conversations, current_conversation):
updated = False
for idx, conversation in enumerate(conversations):
if conversation == current_conversation:
conversations[idx] = current_conversation
updated = True
break
if not updated:
conversations.append(current_conversation)
temp_conversations_file = "temp_" + conversations_file
with open(temp_conversations_file, "wb") as f:
pickle.dump(conversations, f)
os.replace(temp_conversations_file, conversations_file)
def exit_handler():
print("Exiting, saving data...")
# Perform cleanup operations here, like saving data or closing open files.
save_conversations(st.session_state.conversations, st.session_state.current_conversation)
# Register the exit_handler function to be called when the program is closing.
atexit.register(exit_handler)
st.header("Chat Placeholder")
if 'conversations' not in st.session_state:
st.session_state['conversations'] = load_conversations()
if 'input_text' not in st.session_state:
st.session_state['input_text'] = ''
if 'selected_conversation' not in st.session_state:
st.session_state['selected_conversation'] = None
if 'input_field_key' not in st.session_state:
st.session_state['input_field_key'] = 0
if 'query_method' not in st.session_state:
st.session_state['query_method'] = query
# Initialize new conversation
if 'current_conversation' not in st.session_state or st.session_state['current_conversation'] is None:
st.session_state['current_conversation'] = {'user_inputs': [], 'generated_responses': []}
input_placeholder = st.empty()
user_input = input_placeholder.text_input(
'You:', value=st.session_state['input_text'], key=f'input_text_{st.session_state["input_field_key"]}'
)
submit_button = st.button("Submit")
if (user_input and user_input != st.session_state['input_text']) or submit_button:
output = query(user_input, st.session_state['query_method'])
escaped_output = output.encode('utf-8').decode('unicode-escape')
st.session_state.current_conversation['user_inputs'].append(user_input)
st.session_state.current_conversation['generated_responses'].append(escaped_output)
save_conversations(st.session_state.conversations, st.session_state.current_conversation)
st.session_state['input_text'] = ''
user_input = input_placeholder.text_input(
'You:', value=st.session_state['input_text'], key=f'input_text_{st.session_state["input_field_key"]}'
) # Clear the input field
# Add a button to create a new conversation
if st.sidebar.button("New Conversation"):
st.session_state['selected_conversation'] = None
st.session_state['current_conversation'] = {'user_inputs': [], 'generated_responses': []}
st.session_state['input_field_key'] += 1
st.session_state['query_method'] = st.sidebar.selectbox("Select API:", options=avail_query_methods, index=0)
# Proxy
st.session_state['proxy'] = st.sidebar.text_input("Proxy: ")
# Sidebar
st.sidebar.header("Conversation History")
for idx, conversation in enumerate(st.session_state.conversations):
if st.sidebar.button(f"Conversation {idx + 1}: {conversation['user_inputs'][0]}", key=f"sidebar_btn_{idx}"):
st.session_state['selected_conversation'] = idx
st.session_state['current_conversation'] = st.session_state.conversations[idx]
if st.session_state['selected_conversation'] is not None:
conversation_to_display = st.session_state.conversations[st.session_state['selected_conversation']]
else:
conversation_to_display = st.session_state.current_conversation
if conversation_to_display['generated_responses']:
for i in range(len(conversation_to_display['generated_responses']) - 1, -1, -1):
message(conversation_to_display["generated_responses"][i], key=f"display_generated_{i}")
message(conversation_to_display['user_inputs'][i], is_user=True, key=f"display_user_{i}")

702
poetry.lock generated ノーマルファイル
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{file = "pydantic-1.10.7-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c230c0d8a322276d6e7b88c3f7ce885f9ed16e0910354510e0bae84d54991143"},
{file = "pydantic-1.10.7-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:976cae77ba6a49d80f461fd8bba183ff7ba79f44aa5cfa82f1346b5626542f8e"},
{file = "pydantic-1.10.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7d45fc99d64af9aaf7e308054a0067fdcd87ffe974f2442312372dfa66e1001d"},
{file = "pydantic-1.10.7-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d2a5ebb48958754d386195fe9e9c5106f11275867051bf017a8059410e9abf1f"},
{file = "pydantic-1.10.7-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:abfb7d4a7cd5cc4e1d1887c43503a7c5dd608eadf8bc615413fc498d3e4645cd"},
{file = "pydantic-1.10.7-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:80b1fab4deb08a8292d15e43a6edccdffa5377a36a4597bb545b93e79c5ff0a5"},
{file = "pydantic-1.10.7-cp39-cp39-win_amd64.whl", hash = "sha256:d71e69699498b020ea198468e2480a2f1e7433e32a3a99760058c6520e2bea7e"},
{file = "pydantic-1.10.7-py3-none-any.whl", hash = "sha256:0cd181f1d0b1d00e2b705f1bf1ac7799a2d938cce3376b8007df62b29be3c2c6"},
{file = "pydantic-1.10.7.tar.gz", hash = "sha256:cfc83c0678b6ba51b0532bea66860617c4cd4251ecf76e9846fa5a9f3454e97e"},
]
[package.dependencies]
typing-extensions = ">=4.2.0"
[package.extras]
dotenv = ["python-dotenv (>=0.10.4)"]
email = ["email-validator (>=1.0.3)"]
[[package]]
name = "pydub"
version = "0.25.1"
description = "Manipulate audio with an simple and easy high level interface"
category = "main"
optional = false
python-versions = "*"
files = [
{file = "pydub-0.25.1-py2.py3-none-any.whl", hash = "sha256:65617e33033874b59d87db603aa1ed450633288aefead953b30bded59cb599a6"},
{file = "pydub-0.25.1.tar.gz", hash = "sha256:980a33ce9949cab2a569606b65674d748ecbca4f0796887fd6f46173a7b0d30f"},
]
[[package]]
name = "pypasser"
version = "0.0.5"
description = "Bypassing reCaptcha V3 by sending HTTP requests & solving reCaptcha V2 using speech to text."
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "PyPasser-0.0.5.tar.gz", hash = "sha256:72b0ded34edcfa885a13ecc825c5a058503b68521ab87294205d7ff5cd569515"},
]
[package.dependencies]
pydub = "0.25.1"
PySocks = "1.7.1"
requests = ">=2.25.1,<3.0"
selenium = "*"
SpeechRecognition = "3.8.1"
[[package]]
name = "pysocks"
version = "1.7.1"
description = "A Python SOCKS client module. See https://github.com/Anorov/PySocks for more information."
category = "main"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
files = [
{file = "PySocks-1.7.1-py27-none-any.whl", hash = "sha256:08e69f092cc6dbe92a0fdd16eeb9b9ffbc13cadfe5ca4c7bd92ffb078b293299"},
{file = "PySocks-1.7.1-py3-none-any.whl", hash = "sha256:2725bd0a9925919b9b51739eea5f9e2bae91e83288108a9ad338b2e3a4435ee5"},
{file = "PySocks-1.7.1.tar.gz", hash = "sha256:3f8804571ebe159c380ac6de37643bb4685970655d3bba243530d6558b799aa0"},
]
[[package]]
name = "requests"
version = "2.29.0"
description = "Python HTTP for Humans."
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "requests-2.29.0-py3-none-any.whl", hash = "sha256:e8f3c9be120d3333921d213eef078af392fba3933ab7ed2d1cba3b56f2568c3b"},
{file = "requests-2.29.0.tar.gz", hash = "sha256:f2e34a75f4749019bb0e3effb66683630e4ffeaf75819fb51bebef1bf5aef059"},
]
[package.dependencies]
certifi = ">=2017.4.17"
charset-normalizer = ">=2,<4"
idna = ">=2.5,<4"
urllib3 = ">=1.21.1,<1.27"
[package.extras]
socks = ["PySocks (>=1.5.6,!=1.5.7)"]
use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
[[package]]
name = "selenium"
version = "4.9.0"
description = ""
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "selenium-4.9.0-py3-none-any.whl", hash = "sha256:4c19e6aac202719373108d53a5a8e9336ba8d2b25822ca32ae6ff37acbabbdbe"},
{file = "selenium-4.9.0.tar.gz", hash = "sha256:478fae77cdfaec32adb1e68d59632c8c191f920535282abcaa2d1a3d98655624"},
]
[package.dependencies]
certifi = ">=2021.10.8"
trio = ">=0.17,<1.0"
trio-websocket = ">=0.9,<1.0"
urllib3 = {version = ">=1.26,<2.0", extras = ["socks"]}
[[package]]
name = "sniffio"
version = "1.3.0"
description = "Sniff out which async library your code is running under"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "sniffio-1.3.0-py3-none-any.whl", hash = "sha256:eecefdce1e5bbfb7ad2eeaabf7c1eeb404d7757c379bd1f7e5cce9d8bf425384"},
{file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"},
]
[[package]]
name = "sortedcontainers"
version = "2.4.0"
description = "Sorted Containers -- Sorted List, Sorted Dict, Sorted Set"
category = "main"
optional = false
python-versions = "*"
files = [
{file = "sortedcontainers-2.4.0-py2.py3-none-any.whl", hash = "sha256:a163dcaede0f1c021485e957a39245190e74249897e2ae4b2aa38595db237ee0"},
{file = "sortedcontainers-2.4.0.tar.gz", hash = "sha256:25caa5a06cc30b6b83d11423433f65d1f9d76c4c6a0c90e3379eaa43b9bfdb88"},
]
[[package]]
name = "speechrecognition"
version = "3.8.1"
description = "Library for performing speech recognition, with support for several engines and APIs, online and offline."
category = "main"
optional = false
python-versions = "*"
files = [
{file = "SpeechRecognition-3.8.1-py2.py3-none-any.whl", hash = "sha256:4d8f73a0c05ec70331c3bacaa89ecc06dfa8d9aba0899276664cda06ab597e8e"},
]
[[package]]
name = "tls-client"
version = "0.2"
description = "Advanced Python HTTP Client."
category = "main"
optional = false
python-versions = "*"
files = [
{file = "tls_client-0.2-py3-none-any.whl", hash = "sha256:26012084e753d7531d32960ec706f81188bb7d825586675fa300b2b44f791412"},
{file = "tls_client-0.2.tar.gz", hash = "sha256:eef3860c6f186fa866dc782f1b9e43ae837e40e831f50831c3515cee7c84fd0f"},
]
[[package]]
name = "trio"
version = "0.22.0"
description = "A friendly Python library for async concurrency and I/O"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "trio-0.22.0-py3-none-any.whl", hash = "sha256:f1dd0780a89bfc880c7c7994519cb53f62aacb2c25ff487001c0052bd721cdf0"},
{file = "trio-0.22.0.tar.gz", hash = "sha256:ce68f1c5400a47b137c5a4de72c7c901bd4e7a24fbdebfe9b41de8c6c04eaacf"},
]
[package.dependencies]
async-generator = ">=1.9"
attrs = ">=19.2.0"
cffi = {version = ">=1.14", markers = "os_name == \"nt\" and implementation_name != \"pypy\""}
exceptiongroup = {version = ">=1.0.0rc9", markers = "python_version < \"3.11\""}
idna = "*"
outcome = "*"
sniffio = "*"
sortedcontainers = "*"
[[package]]
name = "trio-websocket"
version = "0.10.2"
description = "WebSocket library for Trio"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "trio-websocket-0.10.2.tar.gz", hash = "sha256:af13e9393f9051111300287947ec595d601758ce3d165328e7d36325135a8d62"},
{file = "trio_websocket-0.10.2-py3-none-any.whl", hash = "sha256:0908435e4eecc49d830ae1c4d6c47b978a75f00594a2be2104d58b61a04cdb53"},
]
[package.dependencies]
exceptiongroup = "*"
trio = ">=0.11"
wsproto = ">=0.14"
[[package]]
name = "twocaptcha"
version = "0.0.1"
description = "2Captcha Python3 API Wrapper"
category = "main"
optional = false
python-versions = "*"
files = [
{file = "TwoCaptcha-0.0.1.tar.gz", hash = "sha256:fd04127de71ca4bd31c22add84a5bcb7c683cf9ee5bf503ca14a8f372ac76a0e"},
]
[package.dependencies]
requests = "*"
[[package]]
name = "typing-extensions"
version = "4.5.0"
description = "Backported and Experimental Type Hints for Python 3.7+"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "typing_extensions-4.5.0-py3-none-any.whl", hash = "sha256:fb33085c39dd998ac16d1431ebc293a8b3eedd00fd4a32de0ff79002c19511b4"},
{file = "typing_extensions-4.5.0.tar.gz", hash = "sha256:5cb5f4a79139d699607b3ef622a1dedafa84e115ab0024e0d9c044a9479ca7cb"},
]
[[package]]
name = "urllib3"
version = "1.26.15"
description = "HTTP library with thread-safe connection pooling, file post, and more."
category = "main"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
files = [
{file = "urllib3-1.26.15-py2.py3-none-any.whl", hash = "sha256:aa751d169e23c7479ce47a0cb0da579e3ede798f994f5816a74e4f4500dcea42"},
{file = "urllib3-1.26.15.tar.gz", hash = "sha256:8a388717b9476f934a21484e8c8e61875ab60644d29b9b39e11e4b9dc1c6b305"},
]
[package.dependencies]
PySocks = {version = ">=1.5.6,<1.5.7 || >1.5.7,<2.0", optional = true, markers = "extra == \"socks\""}
[package.extras]
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
[[package]]
name = "websocket-client"
version = "1.5.1"
description = "WebSocket client for Python with low level API options"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "websocket-client-1.5.1.tar.gz", hash = "sha256:3f09e6d8230892547132177f575a4e3e73cfdf06526e20cc02aa1c3b47184d40"},
{file = "websocket_client-1.5.1-py3-none-any.whl", hash = "sha256:cdf5877568b7e83aa7cf2244ab56a3213de587bbe0ce9d8b9600fc77b455d89e"},
]
[package.extras]
docs = ["Sphinx (>=3.4)", "sphinx-rtd-theme (>=0.5)"]
optional = ["python-socks", "wsaccel"]
test = ["websockets"]
[[package]]
name = "wsproto"
version = "1.2.0"
description = "WebSockets state-machine based protocol implementation"
category = "main"
optional = false
python-versions = ">=3.7.0"
files = [
{file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"},
{file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"},
]
[package.dependencies]
h11 = ">=0.9.0,<1"
[[package]]
name = "zipp"
version = "3.15.0"
description = "Backport of pathlib-compatible object wrapper for zip files"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"},
{file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"},
]
[package.extras]
docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
[metadata]
lock-version = "2.0"
python-versions = "^3.7"
content-hash = "d22aa72ee6bd554c0676a3b6b723090d156a720d03d3b05422a01aa9bf22dda2"

28
pyproject.toml ノーマルファイル
ファイルの表示

@ -0,0 +1,28 @@
[tool.poetry]
name = "openai-rev"
version = "0.1.0"
description = ""
authors = []
license = "GPL-3.0"
readme = "README.md"
packages = [{ include = "gpt4free" }]
exclude = ["**/*.txt"]
[tool.poetry.dependencies]
python = "^3.7"
websocket-client = "^1.5.1"
requests = "2.29.0"
tls-client = "^0.2"
pypasser = "^0.0.5"
names = "^0.3.0"
colorama = "^0.4.6"
curl-cffi = "^0.5.5"
selenium = "^4.9.0"
fake-useragent = "^1.1.3"
twocaptcha = "^0.0.1"
pydantic = "^1.10.7"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"

14
requirements.txt ノーマルファイル
ファイルの表示

@ -0,0 +1,14 @@
websocket-client
requests
tls-client
pypasser
names
colorama
curl_cffi
streamlit==1.21.0
selenium
fake-useragent
twocaptcha
https://github.com/AI-Yash/st-chat/archive/refs/pull/24/head.zip
pydantic
pymailtm

9
testing/forefront_test.py ノーマルファイル
ファイルの表示

@ -0,0 +1,9 @@
from gpt4free import forefront
# create an account
token = forefront.Account.create(logging=True)
print(token)
# get a response
for response in forefront.StreamingCompletion.create(token=token, prompt='hello world', model='gpt-4'):
print(response.text, end='')

14
testing/openaihosted_test.py ノーマルファイル
ファイルの表示

@ -0,0 +1,14 @@
import openaihosted
messages = [{"role": "system", "content": "You are a helpful assistant."}]
while True:
question = input("Question: ")
if question == "!stop":
break
messages.append({"role": "user", "content": question})
request = openaihosted.Completion.create(messages=messages)
response = request["responses"]
messages.append({"role": "assistant", "content": response})
print(f"Answer: {response}")

109
testing/poe_account_create_test.py ノーマルファイル
ファイルの表示

@ -0,0 +1,109 @@
from hashlib import md5
from json import dumps
from re import findall
from typing import Optional
from tls_client import Session as TLS
from twocaptcha import TwoCaptcha
from gpt4free.quora import extract_formkey
from gpt4free.quora.mail import Emailnator
solver = TwoCaptcha('72747bf24a9d89b4dcc1b24875efd358')
class Account:
@staticmethod
def create(proxy: Optional[str] = None, logging: bool = False, enable_bot_creation: bool = False):
client = TLS(client_identifier='chrome110')
client.proxies = {'http': f'http://{proxy}', 'https': f'http://{proxy}'} if proxy else None
mail_client = Emailnator()
mail_address = mail_client.get_mail()
if logging:
print('email', mail_address)
client.headers = {
'authority': 'poe.com',
'accept': '*/*',
'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
'content-type': 'application/json',
'origin': 'https://poe.com',
'poe-formkey': 'null',
'poe-tag-id': 'null',
'poe-tchannel': 'null',
'referer': 'https://poe.com/login',
'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"macOS"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-origin',
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
}
client.headers["poe-formkey"] = extract_formkey(client.get('https://poe.com/login').text)
client.headers["poe-tchannel"] = client.get('https://poe.com/api/settings').json()['tchannelData']['channel']
# token = reCaptchaV3('https://www.recaptcha.net/recaptcha/enterprise/anchor?ar=1&k=6LflhEElAAAAAI_ewVwRWI9hsyV4mbZnYAslSvlG&co=aHR0cHM6Ly9wb2UuY29tOjQ0Mw..&hl=en&v=4PnKmGB9wRHh1i04o7YUICeI&size=invisible&cb=bi6ivxoskyal')
token = solver.recaptcha(
sitekey='6LflhEElAAAAAI_ewVwRWI9hsyV4mbZnYAslSvlG',
url='https://poe.com/login?redirect_url=%2F',
version='v3',
enterprise=1,
invisible=1,
action='login',
)['code']
payload = dumps(
separators=(',', ':'),
obj={
'queryName': 'MainSignupLoginSection_sendVerificationCodeMutation_Mutation',
'variables': {'emailAddress': mail_address, 'phoneNumber': None, 'recaptchaToken': token},
'query': 'mutation MainSignupLoginSection_sendVerificationCodeMutation_Mutation(\n $emailAddress: String\n $phoneNumber: String\n $recaptchaToken: String\n) {\n sendVerificationCode(verificationReason: login, emailAddress: $emailAddress, phoneNumber: $phoneNumber, recaptchaToken: $recaptchaToken) {\n status\n errorMessage\n }\n}\n',
},
)
base_string = payload + client.headers["poe-formkey"] + 'WpuLMiXEKKE98j56k'
client.headers["poe-tag-id"] = md5(base_string.encode()).hexdigest()
print(dumps(client.headers, indent=4))
response = client.post('https://poe.com/api/gql_POST', data=payload)
if 'automated_request_detected' in response.text:
print('please try using a proxy / wait for fix')
if 'Bad Request' in response.text:
if logging:
print('bad request, retrying...', response.json())
quit()
if logging:
print('send_code', response.json())
mail_content = mail_client.get_message()
mail_token = findall(r';">(\d{6,7})</div>', mail_content)[0]
if logging:
print('code', mail_token)
payload = dumps(
separators=(',', ':'),
obj={
"queryName": "SignupOrLoginWithCodeSection_signupWithVerificationCodeMutation_Mutation",
"variables": {"verificationCode": str(mail_token), "emailAddress": mail_address, "phoneNumber": None},
"query": "mutation SignupOrLoginWithCodeSection_signupWithVerificationCodeMutation_Mutation(\n $verificationCode: String!\n $emailAddress: String\n $phoneNumber: String\n) {\n signupWithVerificationCode(verificationCode: $verificationCode, emailAddress: $emailAddress, phoneNumber: $phoneNumber) {\n status\n errorMessage\n }\n}\n",
},
)
base_string = payload + client.headers["poe-formkey"] + 'WpuLMiXEKKE98j56k'
client.headers["poe-tag-id"] = md5(base_string.encode()).hexdigest()
response = client.post('https://poe.com/api/gql_POST', data=payload)
if logging:
print('verify_code', response.json())
Account.create(proxy='xtekky:wegwgwegwed_streaming-1@geo.iproyal.com:12321', logging=True)

11
testing/poe_test.py ノーマルファイル
ファイルの表示

@ -0,0 +1,11 @@
from time import sleep
from gpt4free import quora
token = quora.Account.create(proxy=None, logging=True)
print('token', token)
sleep(2)
for response in quora.StreamingCompletion.create(model='ChatGPT', prompt='hello world', token=token):
print(response.text, flush=True)

12
testing/quora_test_2.py ノーマルファイル
ファイルの表示

@ -0,0 +1,12 @@
from gpt4free import quora
token = quora.Account.create(logging=True, enable_bot_creation=True)
model = quora.Model.create(
token=token, model='ChatGPT', system_prompt='you are ChatGPT a large language model ...' # or claude-instant-v1.0
)
print(model.name)
for response in quora.StreamingCompletion.create(custom_model=model.name, prompt='hello world', token=token):
print(response.text)

4
testing/sqlchat_test.py ノーマルファイル
ファイルの表示

@ -0,0 +1,4 @@
import sqlchat
for response in sqlchat.StreamCompletion.create(prompt='write python code to reverse a string', messages=[]):
print(response.completion.choices[0].text, end='')

4
testing/t3nsor_test.py ノーマルファイル
ファイルの表示

@ -0,0 +1,4 @@
import t3nsor
for response in t3nsor.StreamCompletion.create(prompt='write python code to reverse a string', messages=[]):
print(response.completion.choices[0].text)

27
testing/test_main.py ノーマルファイル
ファイルの表示

@ -0,0 +1,27 @@
import gpt4free
from gpt4free import Provider, quora, forefront
# usage You
response = gpt4free.Completion.create(Provider.You, prompt='Write a poem on Lionel Messi')
print(response)
# usage Poe
token = quora.Account.create(logging=False)
response = gpt4free.Completion.create(Provider.Poe, prompt='Write a poem on Lionel Messi', token=token, model='ChatGPT')
print(response)
# usage forefront
token = forefront.Account.create(logging=False)
response = gpt4free.Completion.create(
Provider.ForeFront, prompt='Write a poem on Lionel Messi', model='gpt-4', token=token
)
print(response)
print(f'END')
# usage theb
response = gpt4free.Completion.create(Provider.Theb, prompt='Write a poem on Lionel Messi')
print(response)
# usage cocalc
response = gpt4free.Completion.create(Provider.CoCalc, prompt='Write a poem on Lionel Messi', cookie_input='')
print(response)

5
testing/theb_test.py ノーマルファイル
ファイルの表示

@ -0,0 +1,5 @@
from gpt4free import theb
for token in theb.Completion.create('hello world'):
print(token, end='', flush=True)
print('asdsos')

27
testing/useless_test.py ノーマルファイル
ファイルの表示

@ -0,0 +1,27 @@
from gpt4free import usesless
message_id = ""
while True:
prompt = input("Question: ")
if prompt == "!stop":
break
req = usesless.Completion.create(prompt=prompt, parentMessageId=message_id)
print(f"Answer: {req['text']}")
message_id = req["id"]
import gpt4free
message_id = ""
while True:
prompt = input("Question: ")
if prompt == "!stop":
break
req = gpt4free.Completion.create(provider = gpt4free.Provider.UseLess,
prompt=prompt, parentMessageId=message_id)
print(f"Answer: {req['text']}")
message_id = req["id"]

13
testing/usesless_test.py ノーマルファイル
ファイルの表示

@ -0,0 +1,13 @@
import usesless
question1 = "Who won the world series in 2020?"
req = usesless.Completion.create(prompt=question1)
answer = req["text"]
message_id = req["parentMessageId"]
question2 = "Where was it played?"
req2 = usesless.Completion.create(prompt=question2, parentMessageId=message_id)
answer2 = req2["text"]
print(answer)
print(answer2)

35
testing/writesonic_test.py ノーマルファイル
ファイルの表示

@ -0,0 +1,35 @@
# import writesonic
import writesonic
# create account (3-4s)
account = writesonic.Account.create(logging=True)
# with loging:
# 2023-04-06 21:50:25 INFO __main__ -> register success : '{"id":"51aa0809-3053-44f7-922a...' (2s)
# 2023-04-06 21:50:25 INFO __main__ -> id : '51aa0809-3053-44f7-922a-2b85d8d07edf'
# 2023-04-06 21:50:25 INFO __main__ -> token : 'eyJhbGciOiJIUzI1NiIsInR5cCI6Ik...'
# 2023-04-06 21:50:28 INFO __main__ -> got key : '194158c4-d249-4be0-82c6-5049e869533c' (2s)
# simple completion
response = writesonic.Completion.create(api_key=account.key, prompt='hello world')
print(response.completion.choices[0].text) # Hello! How may I assist you today?
# conversation
response = writesonic.Completion.create(
api_key=account.key,
prompt='what is my name ?',
enable_memory=True,
history_data=[{'is_sent': True, 'message': 'my name is Tekky'}, {'is_sent': False, 'message': 'hello Tekky'}],
)
print(response.completion.choices[0].text) # Your name is Tekky.
# enable internet
response = writesonic.Completion.create(
api_key=account.key, prompt='who won the quatar world cup ?', enable_google_results=True
)
print(response.completion.choices[0].text) # Argentina won the 2022 FIFA World Cup tournament held in Qatar ...

27
testing/you_test.py ノーマルファイル
ファイルの表示

@ -0,0 +1,27 @@
from gpt4free import you
# simple request with links and details
response = you.Completion.create(prompt="hello world", detailed=True, include_links=True)
print(response)
# {
# "response": "...",
# "links": [...],
# "extra": {...},
# "slots": {...}
# }
# }
# chatbot
chat = []
while True:
prompt = input("You: ")
response = you.Completion.create(prompt=prompt, chat=chat)
print("Bot:", response.text)
chat.append({"question": prompt, "answer": response.text})

バイナリ
unfinished/.DS_Store vendored ノーマルファイル
ファイルの表示

バイナリファイルは表示されません。

2
unfinished/bard/README.md ノーマルファイル
ファイルの表示

@ -0,0 +1,2 @@
to do:
- code refractoring

93
unfinished/bard/__init__.py ノーマルファイル
ファイルの表示

@ -0,0 +1,93 @@
from json import dumps, loads
from os import getenv
from random import randint
from re import search
from urllib.parse import urlencode
from bard.typings import BardResponse
from dotenv import load_dotenv
from requests import Session
load_dotenv()
token = getenv('1psid')
proxy = getenv('proxy')
temperatures = {
0: "Generate text strictly following known patterns, with no creativity.",
0.1: "Produce text adhering closely to established patterns, allowing minimal creativity.",
0.2: "Create text with modest deviations from familiar patterns, injecting a slight creative touch.",
0.3: "Craft text with a mild level of creativity, deviating somewhat from common patterns.",
0.4: "Formulate text balancing creativity and recognizable patterns for coherent results.",
0.5: "Generate text with a moderate level of creativity, allowing for a mix of familiarity and novelty.",
0.6: "Compose text with an increased emphasis on creativity, while partially maintaining familiar patterns.",
0.7: "Produce text favoring creativity over typical patterns for more original results.",
0.8: "Create text heavily focused on creativity, with limited concern for familiar patterns.",
0.9: "Craft text with a strong emphasis on unique and inventive ideas, largely ignoring established patterns.",
1: "Generate text with maximum creativity, disregarding any constraints of known patterns or structures."
}
class Completion:
def create(
prompt: str = 'hello world',
temperature: int = None,
conversation_id: str = '',
response_id: str = '',
choice_id: str = '') -> BardResponse:
if temperature:
prompt = f'''settings: follow these settings for your response: [temperature: {temperature} - {temperatures[temperature]}] | prompt : {prompt}'''
client = Session()
client.proxies = {
'http': f'http://{proxy}',
'https': f'http://{proxy}'} if proxy else None
client.headers = {
'authority': 'bard.google.com',
'content-type': 'application/x-www-form-urlencoded;charset=UTF-8',
'origin': 'https://bard.google.com',
'referer': 'https://bard.google.com/',
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36',
'x-same-domain': '1',
'cookie': f'__Secure-1PSID={token}'
}
snlm0e = search(r'SNlM0e\":\"(.*?)\"',
client.get('https://bard.google.com/').text).group(1)
params = urlencode({
'bl': 'boq_assistant-bard-web-server_20230326.21_p0',
'_reqid': randint(1111, 9999),
'rt': 'c',
})
response = client.post(
f'https://bard.google.com/_/BardChatUi/data/assistant.lamda.BardFrontendService/StreamGenerate?{params}',
data={
'at': snlm0e,
'f.req': dumps([None, dumps([
[prompt],
None,
[conversation_id, response_id, choice_id],
])])
}
)
chat_data = loads(response.content.splitlines()[3])[0][2]
if not chat_data:
print('error, retrying')
Completion.create(prompt, temperature,
conversation_id, response_id, choice_id)
json_chat_data = loads(chat_data)
results = {
'content': json_chat_data[0][0],
'conversation_id': json_chat_data[1][0],
'response_id': json_chat_data[1][1],
'factualityQueries': json_chat_data[3],
'textQuery': json_chat_data[2][0] if json_chat_data[2] is not None else '',
'choices': [{'id': i[0], 'content': i[1]} for i in json_chat_data[4]],
}
return BardResponse(results)

54
unfinished/bard/typings.py ノーマルファイル
ファイルの表示

@ -0,0 +1,54 @@
from typing import Dict, List, Union
class BardResponse:
def __init__(self, json_dict: Dict[str, Union[str, List]]) -> None:
"""
Initialize a BardResponse object.
:param json_dict: A dictionary containing the JSON response data.
"""
self.json = json_dict
self.content = json_dict.get('content')
self.conversation_id = json_dict.get('conversation_id')
self.response_id = json_dict.get('response_id')
self.factuality_queries = json_dict.get('factualityQueries', [])
self.text_query = json_dict.get('textQuery', [])
self.choices = [self.BardChoice(choice)
for choice in json_dict.get('choices', [])]
def __repr__(self) -> str:
"""
Return a string representation of the BardResponse object.
:return: A string representation of the BardResponse object.
"""
return f"BardResponse(conversation_id={self.conversation_id}, response_id={self.response_id}, content={self.content})"
def filter_choices(self, keyword: str) -> List['BardChoice']:
"""
Filter the choices based on a keyword.
:param keyword: The keyword to filter choices by.
:return: A list of filtered BardChoice objects.
"""
return [choice for choice in self.choices if keyword.lower() in choice.content.lower()]
class BardChoice:
def __init__(self, choice_dict: Dict[str, str]) -> None:
"""
Initialize a BardChoice object.
:param choice_dict: A dictionary containing the choice data.
"""
self.id = choice_dict.get('id')
self.content = choice_dict.get('content')[0]
def __repr__(self) -> str:
"""
Return a string representation of the BardChoice object.
:return: A string representation of the BardChoice object.
"""
return f"BardChoice(id={self.id}, content={self.content})"

2
unfinished/bing/README.md ノーマルファイル
ファイルの表示

@ -0,0 +1,2 @@
to do:
- code refractoring

108
unfinished/bing/__ini__.py ノーマルファイル
ファイルの表示

@ -0,0 +1,108 @@
# Import necessary libraries
import asyncio
from json import dumps, loads
from ssl import create_default_context
import websockets
from browser_cookie3 import edge
from certifi import where
from requests import get
# Set up SSL context
ssl_context = create_default_context()
ssl_context.load_verify_locations(where())
def format(msg: dict) -> str:
"""Format message as JSON string with delimiter."""
return dumps(msg) + '\x1e'
def get_token():
"""Retrieve token from browser cookies."""
cookies = {c.name: c.value for c in edge(domain_name='bing.com')}
return cookies['_U']
class AsyncCompletion:
async def create(
prompt: str = 'hello world',
optionSets: list = [
'deepleo',
'enable_debug_commands',
'disable_emoji_spoken_text',
'enablemm',
'h3relaxedimg'
],
token: str = get_token()):
"""Create a connection to Bing AI and send the prompt."""
# Send create request
create = get('https://edgeservices.bing.com/edgesvc/turing/conversation/create',
headers={
'host': 'edgeservices.bing.com',
'authority': 'edgeservices.bing.com',
'cookie': f'_U={token}',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36 Edg/110.0.1587.69',
}
)
# Extract conversation data
conversationId = create.json()['conversationId']
clientId = create.json()['clientId']
conversationSignature = create.json()['conversationSignature']
# Connect to WebSocket
wss = await websockets.connect('wss://sydney.bing.com/sydney/ChatHub', max_size=None, ssl=ssl_context,
extra_headers={
# Add necessary headers
}
)
# Send JSON protocol version
await wss.send(format({'protocol': 'json', 'version': 1}))
await wss.recv()
# Define message structure
struct = {
# Add necessary message structure
}
# Send message
await wss.send(format(struct))
# Process responses
base_string = ''
final = False
while not final:
objects = str(await wss.recv()).split('\x1e')
for obj in objects:
if obj is None or obj == '':
continue
response = loads(obj)
if response.get('type') == 1 and response['arguments'][0].get('messages', ):
response_text = response['arguments'][0]['messages'][0]['adaptiveCards'][0]['body'][0].get(
'text')
yield (response_text.replace(base_string, ''))
base_string = response_text
elif response.get('type') == 2:
final = True
await wss.close()
async def run():
"""Run the async completion and print the result."""
async for value in AsyncCompletion.create(
prompt='summarize cinderella with each word beginning with a consecutive letter of the alphabet, a-z',
optionSets=[
"galileo",
]
):
print(value, end='', flush=True)
asyncio.run(run())

82
unfinished/chatpdf/__init__.py ノーマルファイル
ファイルの表示

@ -0,0 +1,82 @@
import requests
import json
from queue import Queue, Empty
from threading import Thread
from json import loads
from re import findall
class Completion:
def request(prompt: str):
'''TODO: some sort of authentication + upload PDF from URL or local file
Then you should get the atoken and chat ID
'''
token = "your_token_here"
chat_id = "your_chat_id_here"
url = "https://chat-pr4yueoqha-ue.a.run.app/"
payload = json.dumps({
"v": 2,
"chatSession": {
"type": "join",
"chatId": chat_id
},
"history": [
{
"id": "VNsSyJIq_0",
"author": "p_if2GPSfyN8hjDoA7unYe",
"msg": "<start>",
"time": 1682672009270
},
{
"id": "Zk8DRUtx_6",
"author": "uplaceholder",
"msg": prompt,
"time": 1682672181339
}
]
})
# TODO: fix headers, use random user-agent, streaming response, etc
headers = {
'authority': 'chat-pr4yueoqha-ue.a.run.app',
'accept': '*/*',
'accept-language': 'en-US,en;q=0.9',
'atoken': token,
'content-type': 'application/json',
'origin': 'https://www.chatpdf.com',
'referer': 'https://www.chatpdf.com/',
'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"Windows"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'cross-site',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36'
}
response = requests.request(
"POST", url, headers=headers, data=payload).text
Completion.stream_completed = True
return {'response': response}
@staticmethod
def create(prompt: str):
Thread(target=Completion.request, args=[prompt]).start()
while Completion.stream_completed != True or not Completion.message_queue.empty():
try:
message = Completion.message_queue.get(timeout=0.01)
for message in findall(Completion.regex, message):
yield loads(Completion.part1 + message + Completion.part2)['delta']
except Empty:
pass
@staticmethod
def handle_stream_response(response):
Completion.message_queue.put(response.decode())

4
unfinished/gptbz/README.md ノーマルファイル
ファイルの表示

@ -0,0 +1,4 @@
https://chat.gpt.bz
to do:
- code refractoring

46
unfinished/gptbz/__init__.py ノーマルファイル
ファイルの表示

@ -0,0 +1,46 @@
from json import dumps, loads
import websockets
# Define the asynchronous function to test the WebSocket connection
async def test():
# Establish a WebSocket connection with the specified URL
async with websockets.connect('wss://chatgpt.func.icu/conversation+ws') as wss:
# Prepare the message payload as a JSON object
payload = {
'content_type': 'text',
'engine': 'chat-gpt',
'parts': ['hello world'],
'options': {}
}
# Send the payload to the WebSocket server
await wss.send(dumps(obj=payload, separators=(',', ':')))
# Initialize a variable to track the end of the conversation
ended = None
# Continuously receive and process messages until the conversation ends
while not ended:
try:
# Receive and parse the JSON response from the server
response = await wss.recv()
json_response = loads(response)
# Print the entire JSON response
print(json_response)
# Check for the end of the conversation
ended = json_response.get('eof')
# If the conversation has not ended, print the received message
if not ended:
print(json_response['content']['parts'][0])
# Handle cases when the connection is closed by the server
except websockets.ConnectionClosed:
break

5
unfinished/openprompt/README.md ノーマルファイル
ファイルの表示

@ -0,0 +1,5 @@
https://openprompt.co/
to do:
- finish integrating email client
- code refractoring

64
unfinished/openprompt/create.py ノーマルファイル
ファイルの表示

@ -0,0 +1,64 @@
from json import dumps
# from mail import MailClient
from re import findall
from requests import post, get
html = get('https://developermail.com/mail/')
print(html.cookies.get('mailboxId'))
email = findall(r'mailto:(.*)">', html.text)[0]
headers = {
'apikey': 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6InVzanNtdWZ1emRjcnJjZXVobnlqIiwicm9sZSI6ImFub24iLCJpYXQiOjE2NzgyODYyMzYsImV4cCI6MTk5Mzg2MjIzNn0.2MQ9Lkh-gPqQwV08inIgqozfbYm5jdYWtf-rn-wfQ7U',
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
'x-client-info': '@supabase/auth-helpers-nextjs@0.5.6',
}
json_data = {
'email': email,
'password': 'T4xyt4Yn6WWQ4NC',
'data': {},
'gotrue_meta_security': {},
}
response = post('https://usjsmufuzdcrrceuhnyj.supabase.co/auth/v1/signup', headers=headers, json=json_data)
print(response.json())
# email_link = None
# while not email_link:
# sleep(1)
# mails = mailbox.getmails()
# print(mails)
quit()
url = input("Enter the url: ")
response = get(url, allow_redirects=False)
# https://openprompt.co/#access_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOiJhdXRoZW50aWNhdGVkIiwiZXhwIjoxNjgyMjk0ODcxLCJzdWIiOiI4NWNkNTNiNC1lZTUwLTRiMDQtOGJhNS0wNTUyNjk4ODliZDIiLCJlbWFpbCI6ImNsc2J5emdqcGhiQGJ1Z2Zvby5jb20iLCJwaG9uZSI6IiIsImFwcF9tZXRhZGF0YSI6eyJwcm92aWRlciI6ImVtYWlsIiwicHJvdmlkZXJzIjpbImVtYWlsIl19LCJ1c2VyX21ldGFkYXRhIjp7fSwicm9sZSI6ImF1dGhlbnRpY2F0ZWQiLCJhYWwiOiJhYWwxIiwiYW1yIjpbeyJtZXRob2QiOiJvdHAiLCJ0aW1lc3RhbXAiOjE2ODE2OTAwNzF9XSwic2Vzc2lvbl9pZCI6ImY4MTg1YTM5LTkxYzgtNGFmMy1iNzAxLTdhY2MwY2MwMGNlNSJ9.UvcTfpyIM1TdzM8ZV6UAPWfa0rgNq4AiqeD0INy6zV8&expires_in=604800&refresh_token=_Zp8uXIA2InTDKYgo8TCqA&token_type=bearer&type=signup
redirect = response.headers.get('location')
access_token = redirect.split('&')[0].split('=')[1]
refresh_token = redirect.split('&')[2].split('=')[1]
supabase_auth_token = dumps([access_token, refresh_token, None, None, None], separators=(',', ':'))
print(supabase_auth_token)
cookies = {
'supabase-auth-token': supabase_auth_token
}
json_data = {
'messages': [
{
'role': 'user',
'content': 'how do I reverse a string in python?'
}
]
}
response = post('https://openprompt.co/api/chat2', cookies=cookies, json=json_data, stream=True)
for chunk in response.iter_content(chunk_size=1024):
print(chunk)

111
unfinished/openprompt/mail.py ノーマルファイル
ファイルの表示

@ -0,0 +1,111 @@
import email
import requests
class MailClient:
def __init__(self):
self.username = None
self.token = None
self.raw = None
self.mailids = None
self.mails = None
self.mail = None
def create(self, force=False):
headers = {
'accept': 'application/json',
}
if self.username:
pass
else:
self.response = requests.put(
'https://www.developermail.com/api/v1/mailbox', headers=headers)
self.response = self.response.json()
self.username = self.response['result']['name']
self.token = self.response['result']['token']
return {'username': self.username, 'token': self.token}
def destroy(self):
headers = {
'accept': 'application/json',
'X-MailboxToken': self.token,
}
self.response = requests.delete(
f'https://www.developermail.com/api/v1/mailbox/{self.username}', headers=headers)
self.response = self.response.json()
self.username = None
self.token = None
return self.response
def newtoken(self):
headers = {
'accept': 'application/json',
'X-MailboxToken': self.token,
}
self.response = requests.put(
f'https://www.developermail.com/api/v1/mailbox/{self.username}/token', headers=headers)
self.response = self.response.json()
self.token = self.response['result']['token']
return {'username': self.username, 'token': self.token}
def getmailids(self):
headers = {
'accept': 'application/json',
'X-MailboxToken': self.token,
}
self.response = requests.get(
f'https://www.developermail.com/api/v1/mailbox/{self.username}', headers=headers)
self.response = self.response.json()
self.mailids = self.response['result']
return self.mailids
def getmails(self, mailids: list = None):
headers = {
'accept': 'application/json',
'X-MailboxToken': self.token,
'Content-Type': 'application/json',
}
if mailids is None:
mailids = self.mailids
data = str(mailids)
self.response = requests.post(
f'https://www.developermail.com/api/v1/mailbox/{self.username}/messages', headers=headers, data=data)
self.response = self.response.json()
self.mails = self.response['result']
return self.mails
def getmail(self, mailid: str, raw=False):
headers = {
'accept': 'application/json',
'X-MailboxToken': self.token,
}
self.response = requests.get(
f'https://www.developermail.com/api/v1/mailbox/{self.username}/messages/{mailid}', headers=headers)
self.response = self.response.json()
self.mail = self.response['result']
if raw is False:
self.mail = email.message_from_string(self.mail)
return self.mail
def delmail(self, mailid: str):
headers = {
'accept': 'application/json',
'X-MailboxToken': self.token,
}
self.response = requests.delete(
f'https://www.developermail.com/api/v1/mailbox/{self.username}/messages/{mailid}', headers=headers)
self.response = self.response.json()
return self.response
client = MailClient()
client.newtoken()
print(client.getmails())

36
unfinished/openprompt/main.py ノーマルファイル
ファイルの表示

@ -0,0 +1,36 @@
import requests
cookies = {
'supabase-auth-token': '["eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOiJhdXRoZW50aWNhdGVkIiwiZXhwIjoxNjgyMjk1NzQyLCJzdWIiOiJlOGExOTdiNS03YTAxLTQ3MmEtODQ5My1mNGUzNTNjMzIwNWUiLCJlbWFpbCI6InFlY3RncHZhamlibGNjQGJ1Z2Zvby5jb20iLCJwaG9uZSI6IiIsImFwcF9tZXRhZGF0YSI6eyJwcm92aWRlciI6ImVtYWlsIiwicHJvdmlkZXJzIjpbImVtYWlsIl19LCJ1c2VyX21ldGFkYXRhIjp7fSwicm9sZSI6ImF1dGhlbnRpY2F0ZWQiLCJhYWwiOiJhYWwxIiwiYW1yIjpbeyJtZXRob2QiOiJvdHAiLCJ0aW1lc3RhbXAiOjE2ODE2OTA5NDJ9XSwic2Vzc2lvbl9pZCI6IjIwNTg5MmE5LWU5YTAtNDk2Yi1hN2FjLWEyMWVkMTkwZDA4NCJ9.o7UgHpiJMfa6W-UKCSCnAncIfeOeiHz-51sBmokg0MA","RtPKeb7KMMC9Dn2fZOfiHA",null,null,null]',
}
headers = {
'authority': 'openprompt.co',
'accept': '*/*',
'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
'content-type': 'application/json',
# 'cookie': 'supabase-auth-token=%5B%22eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOiJhdXRoZW50aWNhdGVkIiwiZXhwIjoxNjgyMjkzMjQ4LCJzdWIiOiJlODQwNTZkNC0xZWJhLTQwZDktOWU1Mi1jMTc4MTUwN2VmNzgiLCJlbWFpbCI6InNia2didGJnZHB2bHB0ZUBidWdmb28uY29tIiwicGhvbmUiOiIiLCJhcHBfbWV0YWRhdGEiOnsicHJvdmlkZXIiOiJlbWFpbCIsInByb3ZpZGVycyI6WyJlbWFpbCJdfSwidXNlcl9tZXRhZGF0YSI6e30sInJvbGUiOiJhdXRoZW50aWNhdGVkIiwiYWFsIjoiYWFsMSIsImFtciI6W3sibWV0aG9kIjoib3RwIiwidGltZXN0YW1wIjoxNjgxNjg4NDQ4fV0sInNlc3Npb25faWQiOiJiNDhlMmU3NS04NzlhLTQxZmEtYjQ4MS01OWY0OTgxMzg3YWQifQ.5-3E7WvMMVkXewD1qA26Rv4OFSTT82wYUBXNGcYaYfQ%22%2C%22u5TGGMMeT3zZA0agm5HGuA%22%2Cnull%2Cnull%2Cnull%5D',
'origin': 'https://openprompt.co',
'referer': 'https://openprompt.co/ChatGPT',
'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"macOS"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-origin',
'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Safari/537.36',
}
json_data = {
'messages': [
{
'role': 'user',
'content': 'hello world',
},
],
}
response = requests.post('https://openprompt.co/api/chat2', cookies=cookies, headers=headers, json=json_data,
stream=True)
for chunk in response.iter_content(chunk_size=1024):
print(chunk)

6
unfinished/openprompt/test.py ノーマルファイル
ファイルの表示

@ -0,0 +1,6 @@
access_token = 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOiJhdXRoZW50aWNhdGVkIiwiZXhwIjoxNjgyMjk0ODcxLCJzdWIiOiI4NWNkNTNiNC1lZTUwLTRiMDQtOGJhNS0wNTUyNjk4ODliZDIiLCJlbWFpbCI6ImNsc2J5emdqcGhiQGJ1Z2Zvby5jb20iLCJwaG9uZSI6IiIsImFwcF9tZXRhZGF0YSI6eyJwcm92aWRlciI6ImVtYWlsIiwicHJvdmlkZXJzIjpbImVtYWlsIl19LCJ1c2VyX21ldGFkYXRhIjp7fSwicm9sZSI6ImF1dGhlbnRpY2F0ZWQiLCJhYWwiOiJhYWwxIiwiYW1yIjpbeyJtZXRob2QiOiJvdHAiLCJ0aW1lc3RhbXAiOjE2ODE2OTAwNzF9XSwic2Vzc2lvbl9pZCI6ImY4MTg1YTM5LTkxYzgtNGFmMy1iNzAxLTdhY2MwY2MwMGNlNSJ9.UvcTfpyIM1TdzM8ZV6UAPWfa0rgNq4AiqeD0INy6zV'
supabase_auth_token = '%5B%22eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOiJhdXRoZW50aWNhdGVkIiwiZXhwIjoxNjgyMjk0ODcxLCJzdWIiOiI4NWNkNTNiNC1lZTUwLTRiMDQtOGJhNS0wNTUyNjk4ODliZDIiLCJlbWFpbCI6ImNsc2J5emdqcGhiQGJ1Z2Zvby5jb20iLCJwaG9uZSI6IiIsImFwcF9tZXRhZGF0YSI6eyJwcm92aWRlciI6ImVtYWlsIiwicHJvdmlkZXJzIjpbImVtYWlsIl19LCJ1c2VyX21ldGFkYXRhIjp7fSwicm9sZSI6ImF1dGhlbnRpY2F0ZWQiLCJhYWwiOiJhYWwxIiwiYW1yIjpbeyJtZXRob2QiOiJvdHAiLCJ0aW1lc3RhbXAiOjE2ODE2OTAwNzF9XSwic2Vzc2lvbl9pZCI6ImY4MTg1YTM5LTkxYzgtNGFmMy1iNzAxLTdhY2MwY2MwMGNlNSJ9.UvcTfpyIM1TdzM8ZV6UAPWfa0rgNq4AiqeD0INy6zV8%22%2C%22_Zp8uXIA2InTDKYgo8TCqA%22%2Cnull%2Cnull%2Cnull%5D'
idk = [
"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOiJhdXRoZW50aWNhdGVkIiwiZXhwIjoxNjgyMjk0ODcxLCJzdWIiOiI4NWNkNTNiNC1lZTUwLTRiMDQtOGJhNS0wNTUyNjk4ODliZDIiLCJlbWFpbCI6ImNsc2J5emdqcGhiQGJ1Z2Zvby5jb20iLCJwaG9uZSI6IiIsImFwcF9tZXRhZGF0YSI6eyJwcm92aWRlciI6ImVtYWlsIiwicHJvdmlkZXJzIjpbImVtYWlsIl19LCJ1c2VyX21ldGFkYXRhIjp7fSwicm9sZSI6ImF1dGhlbnRpY2F0ZWQiLCJhYWwiOiJhYWwxIiwiYW1yIjpbeyJtZXRob2QiOiJvdHAiLCJ0aW1lc3RhbXAiOjE2ODE2OTAwNzF9XSwic2Vzc2lvbl9pZCI6ImY4MTg1YTM5LTkxYzgtNGFmMy1iNzAxLTdhY2MwY2MwMGNlNSJ9.UvcTfpyIM1TdzM8ZV6UAPWfa0rgNq4AiqeD0INy6zV8",
"_Zp8uXIA2InTDKYgo8TCqA", None, None, None]

44
unfinished/t3nsor/README.md ノーマルファイル
ファイルの表示

@ -0,0 +1,44 @@
### note: currently patched
### Example: `t3nsor` (use like openai pypi package) <a name="example-t3nsor"></a>
```python
# Import t3nsor
import t3nsor
# t3nsor.Completion.create
# t3nsor.StreamCompletion.create
[...]
```
#### Example Chatbot
```python
messages = []
while True:
user = input('you: ')
t3nsor_cmpl = t3nsor.Completion.create(
prompt = user,
messages = messages
)
print('gpt:', t3nsor_cmpl.completion.choices[0].text)
messages.extend([
{'role': 'user', 'content': user },
{'role': 'assistant', 'content': t3nsor_cmpl.completion.choices[0].text}
])
```
#### Streaming Response:
```python
for response in t3nsor.StreamCompletion.create(
prompt = 'write python code to reverse a string',
messages = []):
print(response.completion.choices[0].text)
```

変更されたファイルが多すぎるため、一部のファイルは表示されません さらに表示