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gpt4free-original
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Merge branch 'main' of https://github.com/xtekky/gpt4free

このコミットが含まれているのは:
t.me/xtekky 2023-04-27 19:16:07 +01:00
親 1704cbebc8 bbb4d69a93
コミット 10104774c1
38個のファイルの変更、1054行の追加、950行の削除
統計情報を表示 Patchファイルをダウンロード Diffファイルをダウンロード すべてのファイルを展開 すべてのファイルを折り畳む

31
README.md
ファイルの表示

@ -11,24 +11,6 @@ Have you ever come across some amazing projects that you couldn't use **just bec
By the way, thank you so much for [![Stars](https://img.shields.io/github/stars/xtekky/gpt4free?style=social)](https://github.com/xtekky/gpt4free/stargazers) and all the support!!
## Announcement
Dear Gpt4free Community,
I would like to thank you for your interest in and support of this project, which I only intended to be for entertainment and educational purposes; I had no idea it would end up being so popular.
I'm aware of the concerns about the project's legality and its impact on smaller sites hosting APIs. I take these concerns seriously and plan to address them.
Here's what I'm doing to fix these issues:
1. Removing APIs from smaller sites: To reduce the impact on smaller sites, I have removed their APIs from the repository. Please shoot me a dm if you are an owner of a site and want it removed.
2. Commitment to ethical use: I want to emphasize my commitment to promoting ethical use of language models. I don't support any illegal or unethical behavior, and I expect users to follow the same principles.
Thank you for your support and understanding. I appreciate your continued interest in gpt4free and am committed to addressing your concerns.
Sincerely,
**xtekky**
## Legal Notice <a name="legal-notice"></a>
This repository uses third-party APIs and AI models and is *not* associated with or endorsed by the API providers or the original developers of the models. This project is intended **for educational purposes only**.
@ -54,14 +36,12 @@ Please note the following:
| **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** | | | |
| `forefront` | Example usage for quora | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](./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)](./quora/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)](./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)](./quora/README.md) | ![Active](https://img.shields.io/badge/Active-brightgreen) | |
| `phind` | Example usage for phind | [![Link to File](https://img.shields.io/badge/Link-Go%20to%20File-blue)](./phind/README.md) | ![Inactive](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)](./you/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)](./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) | - |
@ -154,3 +134,6 @@ 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
ファイルの表示

@ -0,0 +1,15 @@
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

191
forefront/__init__.py
ファイルの表示

@ -1,50 +1,54 @@
from tls_client import Session
from forefront.mail import Mail
from time import time, sleep
from re import match
from forefront.typing import ForeFrontResponse
from uuid import uuid4
from requests import post
from json import loads
from re import match
from time import time, sleep
from uuid import uuid4
from requests import post
from tls_client import Session
from forefront.mail import Mail
from forefront.typing import ForeFrontResponse
class Account:
def create(proxy = None, logging = False):
@staticmethod
def create(proxy=None, logging=False):
proxies = {
'http': 'http://' + proxy,
'https': 'http://' + proxy } if proxy else False
'https': 'http://' + proxy} if proxy else False
start = time()
mail = Mail(proxies)
mail_token = None
mail_adress = mail.get_mail()
#print(mail_adress)
client = Session(client_identifier='chrome110')
mail = Mail(proxies)
mail_token = None
mail_adress = mail.get_mail()
# print(mail_adress)
client = Session(client_identifier='chrome110')
client.proxies = proxies
client.headers = {
"origin": "https://accounts.forefront.ai",
"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",
"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",
}
response = client.post('https://clerk.forefront.ai/v1/client/sign_ups?_clerk_js_version=4.32.6',
data = {
"email_address": mail_adress
}
)
response = client.post('https://clerk.forefront.ai/v1/client/sign_ups?_clerk_js_version=4.32.6',
data={
"email_address": mail_adress
}
)
trace_token = response.json()['response']['id']
if logging: print(trace_token)
response = client.post(f"https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/prepare_verification?_clerk_js_version=4.32.6",
data = {
"strategy" : "email_code",
response = client.post(
f"https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/prepare_verification?_clerk_js_version=4.32.6",
data={
"strategy": "email_code",
}
)
)
if logging: print(response.text)
if not 'sign_up_attempt' in response.text:
@ -58,88 +62,91 @@ class Account:
if mail_token:
break
if logging: print(mail_token)
response = client.post(f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/attempt_verification?_clerk_js_version=4.38.4', data = {
'code': mail_token,
'strategy': 'email_code'
})
response = client.post(
f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/attempt_verification?_clerk_js_version=4.38.4',
data={
'code': mail_token,
'strategy': 'email_code'
})
if logging: print(response.json())
token = response.json()['client']['sessions'][0]['last_active_token']['jwt']
token = response.json()['client']['sessions'][0]['last_active_token']['jwt']
with open('accounts.txt', 'a') as f:
f.write(f'{mail_adress}:{token}\n')
if logging: print(time() - start)
return token
class StreamingCompletion:
@staticmethod
def create(
token = None,
chatId = None,
prompt = '',
actionType = 'new',
defaultPersona = '607e41fe-95be-497e-8e97-010a59b2e2c0', # default
model = 'gpt-4') -> ForeFrontResponse:
token=None,
chatId=None,
prompt='',
actionType='new',
defaultPersona='607e41fe-95be-497e-8e97-010a59b2e2c0', # default
model='gpt-4') -> ForeFrontResponse:
if not token: raise Exception('Token is required!')
if not chatId: chatId = str(uuid4())
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',
'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' : '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',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'cross-site',
'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 = {
'text' : prompt,
'action' : actionType,
'parentId' : chatId,
'workspaceId' : chatId,
'messagePersona' : defaultPersona,
'model' : model
'text': prompt,
'action': actionType,
'parentId': chatId,
'workspaceId': chatId,
'messagePersona': defaultPersona,
'model': model
}
for chunk in post('https://chat-server.tenant-forefront-default.knative.chi.coreweave.com/chat',
headers=headers, json=json_data, stream=True).iter_lines():
headers=headers, json=json_data, stream=True).iter_lines():
if b'finish_reason":null' in chunk:
data = loads(chunk.decode('utf-8').split('data: ')[1])
data = loads(chunk.decode('utf-8').split('data: ')[1])
token = data['choices'][0]['delta'].get('content')
if token != None:
yield ForeFrontResponse({
'id' : chatId,
'object' : 'text_completion',
'created': int(time()),
'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)
}
})
'id': chatId,
'object': 'text_completion',
'created': int(time()),
'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)
}
})

25
forefront/mail.py
ファイルの表示

@ -1,6 +1,8 @@
from requests import Session
from string import ascii_letters
from random import choices
from string import ascii_letters
from requests import Session
class Mail:
def __init__(self, proxies: dict = None) -> None:
@ -23,27 +25,27 @@ class Mail:
"accept-encoding": "gzip, deflate, br",
"accept-language": "en-GB,en-US;q=0.9,en;q=0.8"
}
def get_mail(self) -> str:
token = ''.join(choices(ascii_letters, k=14)).lower()
init = self.client.post("https://api.mail.tm/accounts", json={
"address" : f"{token}@bugfoo.com",
init = self.client.post("https://api.mail.tm/accounts", json={
"address": f"{token}@bugfoo.com",
"password": token
})
if init.status_code == 201:
resp = self.client.post("https://api.mail.tm/token", json = {
resp = self.client.post("https://api.mail.tm/token", json={
**init.json(),
"password": token
})
self.client.headers['authorization'] = 'Bearer ' + resp.json()['token']
return f"{token}@bugfoo.com"
else:
raise Exception("Failed to create email")
def fetch_inbox(self):
return self.client.get(f"https://api.mail.tm/messages").json()["hydra:member"]
@ -52,4 +54,3 @@ class Mail:
def get_message_content(self, message_id: str):
return self.get_message(message_id)["text"]

37
forefront/typing.py
ファイルの表示

@ -2,12 +2,12 @@ class ForeFrontResponse:
class Completion:
class Choices:
def __init__(self, choice: dict) -> None:
self.text = choice['text']
self.content = self.text.encode()
self.index = choice['index']
self.logprobs = choice['logprobs']
self.finish_reason = choice['finish_reason']
self.text = choice['text']
self.content = self.text.encode()
self.index = choice['index']
self.logprobs = choice['logprobs']
self.finish_reason = choice['finish_reason']
def __repr__(self) -> str:
return f'''<__main__.APIResponse.Completion.Choices(\n text = {self.text.encode()},\n index = {self.index},\n logprobs = {self.logprobs},\n finish_reason = {self.finish_reason})object at 0x1337>'''
@ -16,22 +16,21 @@ class ForeFrontResponse:
class Usage:
def __init__(self, usage_dict: dict) -> None:
self.prompt_tokens = usage_dict['prompt_tokens']
self.completion_tokens = usage_dict['completion_tokens']
self.total_tokens = usage_dict['total_tokens']
self.prompt_tokens = usage_dict['prompt_tokens']
self.completion_tokens = usage_dict['completion_tokens']
self.total_tokens = usage_dict['total_tokens']
def __repr__(self):
return f'''<__main__.APIResponse.Usage(\n prompt_tokens = {self.prompt_tokens},\n completion_tokens = {self.completion_tokens},\n total_tokens = {self.total_tokens})object at 0x1337>'''
def __init__(self, response_dict: dict) -> None:
self.response_dict = response_dict
self.id = response_dict['id']
self.object = response_dict['object']
self.created = response_dict['created']
self.model = response_dict['model']
self.completion = self.Completion(response_dict['choices'])
self.usage = self.Usage(response_dict['usage'])
self.response_dict = response_dict
self.id = response_dict['id']
self.object = response_dict['object']
self.created = response_dict['created']
self.model = response_dict['model']
self.completion = self.Completion(response_dict['choices'])
self.usage = self.Usage(response_dict['usage'])
def json(self) -> dict:
return self.response_dict
return self.response_dict

47
gui/streamlit_app.py
ファイルの表示

@ -1,25 +1,34 @@
import os
import sys
sys.path.append(os.path.join(os.path.dirname(__file__), os.path.pardir))
import streamlit as st
import phind
phind.cf_clearance = ''
phind.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'
# Set cloudflare clearance and user agent
phind.cloudflare_clearance = ''
phind.phind_api = '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'
def phind_get_answer(question:str)->str:
# set cf_clearance cookie
def get_answer(question: str) -> str:
# Set cloudflare clearance cookie and get answer from GPT-4 model
try:
result = phind.Completion.create(
model = 'gpt-4',
prompt = question,
results = phind.Search.create(question, actualSearch = True),
creative = False,
detailed = False,
codeContext = '')
model='gpt-4',
prompt=question,
results=phind.Search.create(question, actualSearch=True),
creative=False,
detailed=False,
codeContext=''
)
return result.completion.choices[0].text
except Exception as e:
return 'An error occured, please make sure you are using a cf_clearance token and correct useragent | %s' % 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",
@ -30,19 +39,21 @@ st.set_page_config(
'About': "### gptfree GUI"
}
)
st.header('GPT4free GUI')
question_text_area = st.text_area('🤖 Ask Any Question :', placeholder='Explain quantum computing in 50 words')
# 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 = phind_get_answer(question_text_area)
answer = get_answer(question_text_area)
# Display answer
st.caption("Answer :")
st.markdown(answer)
# Hide Streamlit footer
hide_streamlit_style = """
<style>
footer {visibility: hidden;}
</style>
"""
st.markdown(hide_streamlit_style, unsafe_allow_html=True)
st.markdown(hide_streamlit_style, unsafe_allow_html=True)

226
phind/__init__.py
ファイルの表示

@ -1,27 +1,25 @@
from datetime import datetime
from queue import Queue, Empty
from threading import Thread
from time import time
from urllib.parse import quote
from time import time
from datetime import datetime
from queue import Queue, Empty
from threading import Thread
from re import findall
from curl_cffi.requests import post
cf_clearance = ''
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'
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'
class PhindResponse:
class Completion:
class Choices:
def __init__(self, choice: dict) -> None:
self.text = choice['text']
self.content = self.text.encode()
self.index = choice['index']
self.logprobs = choice['logprobs']
self.finish_reason = choice['finish_reason']
self.text = choice['text']
self.content = self.text.encode()
self.index = choice['index']
self.logprobs = choice['logprobs']
self.finish_reason = choice['finish_reason']
def __repr__(self) -> str:
return f'''<__main__.APIResponse.Completion.Choices(\n text = {self.text.encode()},\n index = {self.index},\n logprobs = {self.logprobs},\n finish_reason = {self.finish_reason})object at 0x1337>'''
@ -30,34 +28,33 @@ class PhindResponse:
class Usage:
def __init__(self, usage_dict: dict) -> None:
self.prompt_tokens = usage_dict['prompt_tokens']
self.completion_tokens = usage_dict['completion_tokens']
self.total_tokens = usage_dict['total_tokens']
self.prompt_tokens = usage_dict['prompt_tokens']
self.completion_tokens = usage_dict['completion_tokens']
self.total_tokens = usage_dict['total_tokens']
def __repr__(self):
return f'''<__main__.APIResponse.Usage(\n prompt_tokens = {self.prompt_tokens},\n completion_tokens = {self.completion_tokens},\n total_tokens = {self.total_tokens})object at 0x1337>'''
def __init__(self, response_dict: dict) -> None:
self.response_dict = response_dict
self.id = response_dict['id']
self.object = response_dict['object']
self.created = response_dict['created']
self.model = response_dict['model']
self.completion = self.Completion(response_dict['choices'])
self.usage = self.Usage(response_dict['usage'])
self.response_dict = response_dict
self.id = response_dict['id']
self.object = response_dict['object']
self.created = response_dict['created']
self.model = response_dict['model']
self.completion = self.Completion(response_dict['choices'])
self.usage = self.Usage(response_dict['usage'])
def json(self) -> dict:
return self.response_dict
class Search:
def create(prompt: str, actualSearch: bool = True, language: str = 'en') -> dict: # None = no search
def create(prompt: str, actualSearch: bool = True, language: str = 'en') -> dict: # None = no search
if user_agent == '':
raise ValueError('user_agent must be set, refer to documentation')
if cf_clearance == '' :
if cf_clearance == '':
raise ValueError('cf_clearance must be set, refer to documentation')
if not actualSearch:
return {
'_type': 'SearchResponse',
@ -75,7 +72,7 @@ class Search:
}
}
}
headers = {
'authority': 'www.phind.com',
'accept': '*/*',
@ -91,8 +88,8 @@ class Search:
'sec-fetch-site': 'same-origin',
'user-agent': user_agent
}
return post('https://www.phind.com/api/bing/search', headers = headers, json = {
return post('https://www.phind.com/api/bing/search', headers=headers, json={
'q': prompt,
'userRankList': {},
'browserLanguage': language}).json()['rawBingResults']
@ -100,45 +97,45 @@ class Search:
class Completion:
def create(
model = 'gpt-4',
prompt: str = '',
results: dict = None,
creative: bool = False,
detailed: bool = False,
codeContext: str = '',
language: str = 'en') -> PhindResponse:
if user_agent == '' :
model='gpt-4',
prompt: str = '',
results: dict = None,
creative: bool = False,
detailed: bool = False,
codeContext: str = '',
language: str = 'en') -> PhindResponse:
if user_agent == '':
raise ValueError('user_agent must be set, refer to documentation')
if cf_clearance == '' :
if cf_clearance == '':
raise ValueError('cf_clearance must be set, refer to documentation')
if results is None:
results = Search.create(prompt, actualSearch = True)
results = Search.create(prompt, actualSearch=True)
if len(codeContext) > 2999:
raise ValueError('codeContext must be less than 3000 characters')
models = {
'gpt-4' : 'expert',
'gpt-3.5-turbo' : 'intermediate',
'gpt-4': 'expert',
'gpt-3.5-turbo': 'intermediate',
'gpt-3.5': 'intermediate',
}
json_data = {
'question' : prompt,
'bingResults' : results, #response.json()['rawBingResults'],
'codeContext' : codeContext,
'question': prompt,
'bingResults': results, # response.json()['rawBingResults'],
'codeContext': codeContext,
'options': {
'skill' : models[model],
'date' : datetime.now().strftime("%d/%m/%Y"),
'skill': models[model],
'date': datetime.now().strftime("%d/%m/%Y"),
'language': language,
'detailed': detailed,
'creative': creative
}
}
headers = {
'authority': 'www.phind.com',
'accept': '*/*',
@ -155,50 +152,51 @@ class Completion:
'sec-fetch-site': 'same-origin',
'user-agent': user_agent
}
completion = ''
response = post('https://www.phind.com/api/infer/answer', headers = headers, json = json_data, timeout=99999, impersonate='chrome110')
response = post('https://www.phind.com/api/infer/answer', headers=headers, json=json_data, timeout=99999,
impersonate='chrome110')
for line in response.text.split('\r\n\r\n'):
completion += (line.replace('data: ', ''))
return PhindResponse({
'id' : f'cmpl-1337-{int(time())}',
'object' : 'text_completion',
'created': int(time()),
'model' : models[model],
'id': f'cmpl-1337-{int(time())}',
'object': 'text_completion',
'created': int(time()),
'model': models[model],
'choices': [{
'text' : completion,
'index' : 0,
'logprobs' : None,
'finish_reason' : 'stop'
}],
'text': completion,
'index': 0,
'logprobs': None,
'finish_reason': 'stop'
}],
'usage': {
'prompt_tokens' : len(prompt),
'completion_tokens' : len(completion),
'total_tokens' : len(prompt) + len(completion)
'prompt_tokens': len(prompt),
'completion_tokens': len(completion),
'total_tokens': len(prompt) + len(completion)
}
})
class StreamingCompletion:
message_queue = Queue()
message_queue = Queue()
stream_completed = False
def request(model, prompt, results, creative, detailed, codeContext, language) -> None:
models = {
'gpt-4' : 'expert',
'gpt-3.5-turbo' : 'intermediate',
'gpt-4': 'expert',
'gpt-3.5-turbo': 'intermediate',
'gpt-3.5': 'intermediate',
}
json_data = {
'question' : prompt,
'bingResults' : results,
'codeContext' : codeContext,
'question': prompt,
'bingResults': results,
'codeContext': codeContext,
'options': {
'skill' : models[model],
'date' : datetime.now().strftime("%d/%m/%Y"),
'skill': models[model],
'date': datetime.now().strftime("%d/%m/%Y"),
'language': language,
'detailed': detailed,
'creative': creative
@ -221,65 +219,65 @@ class StreamingCompletion:
'sec-fetch-site': 'same-origin',
'user-agent': user_agent
}
response = post('https://www.phind.com/api/infer/answer',
headers = headers, json = json_data, timeout=99999, impersonate='chrome110', content_callback=StreamingCompletion.handle_stream_response)
response = post('https://www.phind.com/api/infer/answer',
headers=headers, json=json_data, timeout=99999, impersonate='chrome110',
content_callback=StreamingCompletion.handle_stream_response)
StreamingCompletion.stream_completed = True
@staticmethod
def create(
model : str = 'gpt-4',
prompt : str = '',
results : dict = None,
creative : bool = False,
detailed : bool = False,
codeContext : str = '',
language : str = 'en'):
model: str = 'gpt-4',
prompt: str = '',
results: dict = None,
creative: bool = False,
detailed: bool = False,
codeContext: str = '',
language: str = 'en'):
if user_agent == '':
raise ValueError('user_agent must be set, refer to documentation')
if cf_clearance == '' :
if cf_clearance == '':
raise ValueError('cf_clearance must be set, refer to documentation')
if results is None:
results = Search.create(prompt, actualSearch = True)
results = Search.create(prompt, actualSearch=True)
if len(codeContext) > 2999:
raise ValueError('codeContext must be less than 3000 characters')
Thread(target = StreamingCompletion.request, args = [
Thread(target=StreamingCompletion.request, args=[
model, prompt, results, creative, detailed, codeContext, language]).start()
while StreamingCompletion.stream_completed != True or not StreamingCompletion.message_queue.empty():
try:
chunk = StreamingCompletion.message_queue.get(timeout=0)
if chunk == b'data: \r\ndata: \r\ndata: \r\n\r\n':
chunk = b'data: \n\n\r\n\r\n'
chunk = chunk.decode()
chunk = chunk.replace('data: \r\n\r\ndata: ', 'data: \n')
chunk = chunk.replace('\r\ndata: \r\ndata: \r\n\r\n', '\n\n\r\n\r\n')
chunk = chunk.replace('data: ', '').replace('\r\n\r\n', '')
yield PhindResponse({
'id' : f'cmpl-1337-{int(time())}',
'object' : 'text_completion',
'created': int(time()),
'model' : model,
'id': f'cmpl-1337-{int(time())}',
'object': 'text_completion',
'created': int(time()),
'model': model,
'choices': [{
'text' : chunk,
'index' : 0,
'logprobs' : None,
'finish_reason' : 'stop'
}],
'text': chunk,
'index': 0,
'logprobs': None,
'finish_reason': 'stop'
}],
'usage': {
'prompt_tokens' : len(prompt),
'completion_tokens' : len(chunk),
'total_tokens' : len(prompt) + len(chunk)
'prompt_tokens': len(prompt),
'completion_tokens': len(chunk),
'total_tokens': len(prompt) + len(chunk)
}
})

56
quora/__init__.py
ファイルの表示

@ -116,11 +116,11 @@ class ModelResponse:
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,
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:
models = {
'gpt-3.5-turbo': 'chinchilla',
@ -202,9 +202,9 @@ class Model:
class Account:
@staticmethod
def create(
proxy: Optional[str] = None,
logging: bool = False,
enable_bot_creation: bool = False,
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
@ -309,10 +309,10 @@ class Account:
class StreamingCompletion:
@staticmethod
def create(
model: str = 'gpt-4',
custom_model: bool = None,
prompt: str = 'hello world',
token: str = '',
model: str = 'gpt-4',
custom_model: bool = None,
prompt: str = 'hello world',
token: str = '',
):
_model = MODELS[model] if not custom_model else custom_model
@ -344,10 +344,10 @@ class StreamingCompletion:
class Completion:
def create(
model: str = 'gpt-4',
custom_model: str = None,
prompt: str = 'hello world',
token: str = '',
model: str = 'gpt-4',
custom_model: str = None,
prompt: str = 'hello world',
token: str = '',
):
models = {
'sage': 'capybara',
@ -389,12 +389,12 @@ class Completion:
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',
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:
@ -473,12 +473,12 @@ class Poe:
return response
def create_bot(
self,
name: str,
/,
prompt: str = '',
base_model: str = 'ChatGPT',
description: str = '',
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.')

62
quora/api.py
ファイルの表示

@ -384,7 +384,7 @@ class Client:
continue
# update info about response
message["text_new"] = message["text"][len(last_text) :]
message["text_new"] = message["text"][len(last_text):]
last_text = message["text"]
message_id = message["messageId"]
@ -456,21 +456,21 @@ class Client:
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,
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",
@ -499,21 +499,21 @@ class Client:
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,
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",

20
quora/mail.py
ファイルの表示

@ -38,7 +38,7 @@ class Emailnator:
return self.email
def get_message(self):
print("waiting for code...")
print("Waiting for message...")
while True:
sleep(2)
@ -49,6 +49,7 @@ class Emailnator:
mail_token = loads(mail_token.text)["messageData"]
if len(mail_token) == 2:
print("Message received!")
print(mail_token[1]["messageID"])
break
@ -63,4 +64,19 @@ class Emailnator:
return mail_context.text
def get_verification_code(self):
return findall(r';">(\d{6,7})</div>', self.get_message())[0]
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()

3
requirements.txt
ファイルの表示

@ -7,4 +7,5 @@ colorama
curl_cffi
streamlit==1.21.0
selenium
fake-useragent
fake-useragent
twocaptcha

7
testing/forefront_test.py
ファイルの表示

@ -5,7 +5,6 @@ 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.completion.choices[0].text, end = '')
for response in forefront.StreamingCompletion.create(token=token,
prompt='hello world', model='gpt-4'):
print(response.completion.choices[0].text, end='')

30
testing/phind_test.py
ファイルの表示

@ -2,18 +2,19 @@ import phind
# set cf_clearance cookie ( not needed at the moment)
phind.cf_clearance = 'MDzwnr3ZWk_ap8u.iwwMR5F3WccfOkhUy_zGNDpcF3s-1682497341-0-160'
phind.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'
phind.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'
prompt = 'hello world'
# normal completion
result = phind.Completion.create(
model = 'gpt-4',
prompt = prompt,
results = phind.Search.create(prompt, actualSearch = False), # create search (set actualSearch to False to disable internet)
creative = False,
detailed = False,
codeContext = '') # up to 3000 chars of code
model='gpt-4',
prompt=prompt,
results=phind.Search.create(prompt, actualSearch=False),
# create search (set actualSearch to False to disable internet)
creative=False,
detailed=False,
codeContext='') # up to 3000 chars of code
print(result.completion.choices[0].text)
@ -22,11 +23,12 @@ prompt = 'who won the quatar world cup'
# help needed: not getting newlines from the stream, please submit a PR if you know how to fix this
# stream completion
for result in phind.StreamingCompletion.create(
model = 'gpt-4',
prompt = prompt,
results = phind.Search.create(prompt, actualSearch = True), # create search (set actualSearch to False to disable internet)
creative = False,
detailed = False,
codeContext = ''): # up to 3000 chars of code
model='gpt-4',
prompt=prompt,
results=phind.Search.create(prompt, actualSearch=True),
# create search (set actualSearch to False to disable internet)
creative=False,
detailed=False,
codeContext=''): # up to 3000 chars of code
print(result.completion.choices[0].text, end='', flush=True)
print(result.completion.choices[0].text, end='', flush=True)

88
testing/poe_account_create_test.py
ファイルの表示

@ -1,90 +1,90 @@
from requests import Session
from tls_client import Session as TLS
from json import dumps
from hashlib import md5
from time import sleep
from json import dumps
from re import findall
from pypasser import reCaptchaV3
from tls_client import Session as TLS
from twocaptcha import TwoCaptcha
from quora import extract_formkey
from quora.mail import Emailnator
from twocaptcha import TwoCaptcha
solver = TwoCaptcha('72747bf24a9d89b4dcc1b24875efd358')
class Account:
def create(proxy: None or str = None, logging: bool = False, enable_bot_creation: bool = False):
client = TLS(client_identifier='chrome110')
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()
mail_client = Emailnator()
mail_address = mail_client.get_mail()
if logging: print('email', mail_address)
client.headers = {
'authority' : 'poe.com',
'accept' : '*/*',
'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',
'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'
'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-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 = 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']
url='https://poe.com/login?redirect_url=%2F',
version='v3',
enterprise=1,
invisible=1,
action='login', )['code']
payload = dumps(separators = (',', ':'), obj = {
payload = dumps(separators=(',', ':'), obj={
'queryName': 'MainSignupLoginSection_sendVerificationCodeMutation_Mutation',
'variables': {
'emailAddress' : mail_address,
'phoneNumber' : None,
'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()
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())
if logging: print('bad request, retrying...', response.json())
quit()
if logging: print('send_code' ,response.json())
if logging: print('send_code', response.json())
mail_content = mail_client.get_message()
mail_token = findall(r';">(\d{6,7})</div>', mail_content)[0]
mail_token = findall(r';">(\d{6,7})</div>', mail_content)[0]
if logging: print('code', mail_token)
payload = dumps(separators = (',', ':'), obj={
payload = dumps(separators=(',', ':'), obj={
"queryName": "SignupOrLoginWithCodeSection_signupWithVerificationCodeMutation_Mutation",
"variables": {
"verificationCode": str(mail_token),
@ -95,10 +95,10 @@ class Account:
})
base_string = payload + client.headers["poe-formkey"] + 'WpuLMiXEKKE98j56k'
client.headers["poe-tag-id"] = md5(base_string.encode()).hexdigest()
client.headers["poe-tag-id"] = md5(base_string.encode()).hexdigest()
response = client.post('https://poe.com/api/gql_POST', data = payload)
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)
Account.create(proxy='xtekky:wegwgwegwed_streaming-1@geo.iproyal.com:12321', logging=True)

14
testing/poe_test.py
ファイルの表示

@ -1,13 +1,13 @@
import quora
from time import sleep
token = quora.Account.create(proxy = None,logging = True)
import quora
token = quora.Account.create(proxy=None, logging=True)
print('token', token)
sleep(2)
for response in quora.StreamingCompletion.create(model = 'gpt-3.5-turbo',
prompt = 'hello world',
token = token):
print(response.completion.choices[0].text, end="", flush=True)
for response in quora.StreamingCompletion.create(model='gpt-3.5-turbo',
prompt='hello world',
token=token):
print(response.completion.choices[0].text, end="", flush=True)

17
testing/quora_test_2.py
ファイルの表示

@ -1,18 +1,17 @@
import quora
token = quora.Account.create(logging = True, enable_bot_creation=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 ...'
token=token,
model='gpt-3.5-turbo', # or claude-instant-v1.0
system_prompt='you are ChatGPT a large language model ...'
)
print(model.name)
for response in quora.StreamingCompletion.create(
custom_model = model.name,
prompt ='hello world',
token = token):
print(response.completion.choices[0].text)
custom_model=model.name,
prompt='hello world',
token=token):
print(response.completion.choices[0].text)

6
testing/sqlchat_test.py ノーマルファイル
ファイルの表示

@ -0,0 +1,6 @@
import sqlchat
for response in sqlchat.StreamCompletion.create(
prompt='write python code to reverse a string',
messages=[]):
print(response.completion.choices[0].text, end='')

5
testing/t3nsor_test.py
ファイルの表示

@ -1,7 +1,6 @@
import t3nsor
for response in t3nsor.StreamCompletion.create(
prompt = 'write python code to reverse a string',
messages = []):
prompt='write python code to reverse a string',
messages=[]):
print(response.completion.choices[0].text)

34
testing/writesonic_test.py
ファイルの表示

@ -2,29 +2,29 @@
import writesonic
# create account (3-4s)
account = writesonic.Account.create(logging = True)
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)
# 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'
api_key=account.key,
prompt='hello world'
)
print(response.completion.choices[0].text) # Hello! How may I assist you today?
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 = [
api_key=account.key,
prompt='what is my name ?',
enable_memory=True,
history_data=[
{
'is_sent': True,
'message': 'my name is Tekky'
@ -36,14 +36,14 @@ response = writesonic.Completion.create(
]
)
print(response.completion.choices[0].text) # Your name is 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
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 ...
print(response.completion.choices[0].text) # Argentina won the 2022 FIFA World Cup tournament held in Qatar ...

124
unfinished/bard/__init__.py
ファイルの表示

@ -1,19 +1,19 @@
from requests import Session
from re import search
from random import randint
from json import dumps, loads
from random import randint
from json import dumps, loads
from os import getenv
from random import randint
from re import search
from urllib.parse import urlencode
from dotenv import load_dotenv; load_dotenv()
from os import getenv
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: "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.",
@ -23,93 +23,71 @@ temperatures = {
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."
1: "Generate text with maximum creativity, disregarding any constraints of known patterns or structures."
}
class Completion:
# def __init__(self, _token, proxy: str or None = None) -> None:
# self.client = Session()
# self.client.proxies = {
# 'http': f'http://{proxy}',
# 'https': f'http://{proxy}' } if proxy else None
# self.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}'
# }
# self.snlm0e = self.__init_client()
# self.conversation_id = ''
# self.response_id = ''
# self.choice_id = ''
# self.reqid = randint(1111, 9999)
def create(
prompt : str = 'hello world',
temperature : int = None,
conversation_id : str = '',
response_id : str = '',
choice_id : str = '') -> BardResponse:
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 = Session()
client.proxies = {
'http': f'http://{proxy}',
'https': f'http://{proxy}' } if proxy else None
'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}'
'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)
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',
'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 = {
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],
])
])
[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)
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]],
'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]],
}
# self.conversation_id = results['conversation_id']
# self.response_id = results['response_id']
# self.choice_id = results['choices'][0]['id']
# self.reqid += 100000
return BardResponse(results)

59
unfinished/bard/typings.py
ファイルの表示

@ -1,15 +1,54 @@
from typing import Dict, List, Union
class BardResponse:
def __init__(self, json_dict):
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')
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', [])]
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):
self.id = choice_dict.get('id')
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})"

179
unfinished/bing/__ini__.py
ファイルの表示

@ -1,151 +1,108 @@
from requests import get
from browser_cookie3 import edge, chrome
from ssl import create_default_context
from certifi import where
from uuid import uuid4
from random import randint
from json import dumps, loads
# Import necessary libraries
import asyncio
import websockets
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():
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 = 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',
}
)
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."""
conversationId = create.json()['conversationId']
clientId = create.json()['clientId']
# 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']
wss: websockets.WebSocketClientProtocol or None = None
wss = await websockets.connect('wss://sydney.bing.com/sydney/ChatHub', max_size = None, ssl = ssl_context,
extra_headers = {
'accept': 'application/json',
'accept-language': 'en-US,en;q=0.9',
'content-type': 'application/json',
'sec-ch-ua': '"Not_A Brand";v="99", Microsoft Edge";v="110", "Chromium";v="110"',
'sec-ch-ua-arch': '"x86"',
'sec-ch-ua-bitness': '"64"',
'sec-ch-ua-full-version': '"109.0.1518.78"',
'sec-ch-ua-full-version-list': '"Chromium";v="110.0.5481.192", "Not A(Brand";v="24.0.0.0", "Microsoft Edge";v="110.0.1587.69"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-model': "",
'sec-ch-ua-platform': '"Windows"',
'sec-ch-ua-platform-version': '"15.0.0"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'same-origin',
'x-ms-client-request-id': str(uuid4()),
'x-ms-useragent': 'azsdk-js-api-client-factory/1.0.0-beta.1 core-rest-pipeline/1.10.0 OS/Win32',
'Referer': 'https://www.bing.com/search?q=Bing+AI&showconv=1&FORM=hpcodx',
'Referrer-Policy': 'origin-when-cross-origin',
'x-forwarded-for': f'13.{randint(104, 107)}.{randint(0, 255)}.{randint(0, 255)}'
}
)
# 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 = {
'arguments': [
{
'source': 'cib',
'optionsSets': optionSets,
'isStartOfSession': True,
'message': {
'author': 'user',
'inputMethod': 'Keyboard',
'text': prompt,
'messageType': 'Chat'
},
'conversationSignature': conversationSignature,
'participant': {
'id': clientId
},
'conversationId': conversationId
}
],
'invocationId': '0',
'target': 'chat',
'type': 4
# 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')
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():
async for value in AsyncCompletion.create(
prompt = 'summarize cinderella with each word beginning with a consecutive letter of the alphabet, a-z',
# optionSets = [
# "deepleo",
# "enable_debug_commands",
# "disable_emoji_spoken_text",
# "enablemm"
# ]
optionSets = [
#"nlu_direct_response_filter",
#"deepleo",
#"disable_emoji_spoken_text",
# "responsible_ai_policy_235",
#"enablemm",
"galileo",
#"dtappid",
# "cricinfo",
# "cricinfov2",
# "dv3sugg",
]
):
print(value, end = '', flush=True)
asyncio.run(run())
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())

40
unfinished/cocalc/__init__.py
ファイルの表示

@ -1,13 +1,24 @@
import requests
class Completion:
def create(prompt="What is the square root of pi",
system_prompt="ASSUME I HAVE FULL ACCESS TO COCALC. ENCLOSE MATH IN $. INCLUDE THE LANGUAGE DIRECTLY AFTER THE TRIPLE BACKTICKS IN ALL MARKDOWN CODE BLOCKS. How can I do the following using CoCalc?") -> str:
# Initialize a session
class Completion:
def create(self, prompt="What is the square root of pi",
system_prompt=("ASSUME I HAVE FULL ACCESS TO COCALC. ENCLOSE MATH IN $. "
"INCLUDE THE LANGUAGE DIRECTLY AFTER THE TRIPLE BACKTICKS "
"IN ALL MARKDOWN CODE BLOCKS. How can I do the following using CoCalc?")) -> str:
# Initialize a session with custom headers
session = self._initialize_session()
# Set the data that will be submitted
payload = self._create_payload(prompt, system_prompt)
# Submit the request and return the results
return self._submit_request(session, payload)
def _initialize_session(self) -> requests.Session:
"""Initialize a session with custom headers for the request."""
session = requests.Session()
# Set headers for the request
headers = {
'Accept': '*/*',
'Accept-Language': 'en-US,en;q=0.5',
@ -16,16 +27,21 @@ class Completion:
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/108.0.0.0 Safari/537.36',
}
session.headers.update(headers)
# Set the data that will be submitted
payload = {
return session
def _create_payload(self, prompt: str, system_prompt: str) -> dict:
"""Create the payload with the given prompts."""
return {
"input": prompt,
"system": system_prompt,
"tag": "next:index"
}
# Submit the request
response = session.post("https://cocalc.com/api/v2/openai/chatgpt", json=payload).json()
def _submit_request(self, session: requests.Session, payload: dict) -> str:
"""Submit the request to the API and return the response."""
# Return the results
response = session.post(
"https://cocalc.com/api/v2/openai/chatgpt", json=payload).json()
return response

5
unfinished/cocalc/cocalc_test.py
ファイルの表示

@ -1,8 +1,7 @@
import cocalc
response = cocalc.Completion.create(
prompt = 'hello world'
prompt='hello world'
)
print(response)
print(response)

42
unfinished/easyai/main.py ノーマルファイル
ファイルの表示

@ -0,0 +1,42 @@
# Import necessary libraries
from json import loads
from os import urandom
from requests import get
# Generate a random session ID
sessionId = urandom(10).hex()
# Set up headers for the API request
headers = {
'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',
'Connection': 'keep-alive',
'Pragma': 'no-cache',
'Referer': 'http://easy-ai.ink/chat',
'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',
'token': 'null',
}
# Main loop to interact with the AI
while True:
# Get user input
prompt = input('you: ')
# Set up parameters for the API request
params = {
'message': prompt,
'sessionId': sessionId
}
# Send request to the API and process the response
for chunk in get('http://easy-ai.ink/easyapi/v1/chat/completions', params=params,
headers=headers, verify=False, stream=True).iter_lines():
# Check if the chunk contains the 'content' field
if b'content' in chunk:
# Parse the JSON data and print the content
data = loads(chunk.decode('utf-8').split('data:')[1])
print(data['content'], end='')

48
unfinished/gptbz/__init__.py
ファイルの表示

@ -1,30 +1,46 @@
import websockets
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:
await wss.send(dumps(separators=(',', ':'), obj = {
'content_type':'text',
'engine':'chat-gpt',
'parts':['hello world'],
'options':{}
}
))
# 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:
response = await wss.recv()
# 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)
ended = json_response.get('eof')
# 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

141
unfinished/openai/__ini__.py
ファイルの表示

@ -1,72 +1,87 @@
# experimental, needs chat.openai.com to be loaded with cf_clearance on browser ( can be closed after )
from tls_client import Session
from uuid import uuid4
# Import required libraries
from uuid import uuid4
from browser_cookie3 import chrome
from tls_client import Session
def session_auth(client):
headers = {
'authority': 'chat.openai.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',
'cache-control': 'no-cache',
'pragma': 'no-cache',
'referer': 'https://chat.openai.com/chat',
'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',
}
return client.get('https://chat.openai.com/api/auth/session', headers=headers).json()
class OpenAIChat:
def __init__(self):
self.client = Session(client_identifier='chrome110')
self._load_cookies()
self._set_headers()
client = Session(client_identifier='chrome110')
def _load_cookies(self):
# Load cookies for the specified domain
for cookie in chrome(domain_name='chat.openai.com'):
self.client.cookies[cookie.name] = cookie.value
for cookie in chrome(domain_name='chat.openai.com'):
client.cookies[cookie.name] = cookie.value
def _set_headers(self):
# Set headers for the client
self.client.headers = {
'authority': 'chat.openai.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',
'authorization': 'Bearer ' + self.session_auth()['accessToken'],
'cache-control': 'no-cache',
'content-type': 'application/json',
'origin': 'https://chat.openai.com',
'pragma': 'no-cache',
'referer': 'https://chat.openai.com/chat',
'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 = {
'authority': 'chat.openai.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',
'authorization': 'Bearer ' + session_auth(client)['accessToken'],
'cache-control': 'no-cache',
'content-type': 'application/json',
'origin': 'https://chat.openai.com',
'pragma': 'no-cache',
'referer': 'https://chat.openai.com/chat',
'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',
}
def session_auth(self):
headers = {
'authority': 'chat.openai.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',
'cache-control': 'no-cache',
'pragma': 'no-cache',
'referer': 'https://chat.openai.com/chat',
'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',
}
response = client.post('https://chat.openai.com/backend-api/conversation', json = {
'action': 'next',
'messages': [
{
'id': str(uuid4()),
'author': {
'role': 'user',
},
'content': {
'content_type': 'text',
'parts': [
'hello world',
],
},
},
],
'parent_message_id': '9b4682f7-977c-4c8a-b5e6-9713e73dfe01',
'model': 'text-davinci-002-render-sha',
'timezone_offset_min': -120,
})
return self.client.get('https://chat.openai.com/api/auth/session', headers=headers).json()
print(response.text)
def send_message(self, message):
response = self.client.post('https://chat.openai.com/backend-api/conversation', json={
'action': 'next',
'messages': [
{
'id': str(uuid4()),
'author': {
'role': 'user',
},
'content': {
'content_type': 'text',
'parts': [
message,
],
},
},
],
'parent_message_id': '9b4682f7-977c-4c8a-b5e6-9713e73dfe01',
'model': 'text-davinci-002-render-sha',
'timezone_offset_min': -120,
})
return response.text
if __name__ == "__main__":
chat = OpenAIChat()
response = chat.send_message("hello world")
print(response)

5
unfinished/openaihosted/__init__.py
ファイルの表示

@ -1,7 +1,8 @@
import requests
import json
import re
import requests
headers = {
'authority': 'openai.a2hosted.com',
'accept': 'text/event-stream',
@ -13,10 +14,12 @@ headers = {
'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36 Edg/113.0.0.0',
}
def create_query_param(conversation):
encoded_conversation = json.dumps(conversation)
return encoded_conversation.replace(" ", "%20").replace('"', '%22').replace("'", "%27")
user_input = input("Enter your message: ")
data = [

20
unfinished/openprompt/create.py
ファイルの表示

@ -1,9 +1,9 @@
from requests import post, get
from json import dumps
#from mail import MailClient
from time import sleep
# 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]
@ -15,9 +15,9 @@ headers = {
}
json_data = {
'email' : email,
'email': email,
'password': 'T4xyt4Yn6WWQ4NC',
'data' : {},
'data': {},
'gotrue_meta_security': {},
}
@ -27,20 +27,20 @@ print(response.json())
# email_link = None
# while not email_link:
# sleep(1)
# mails = mailbox.getmails()
# print(mails)
quit()
url = input("Enter the url: ")
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]
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=(',', ':'))
@ -61,4 +61,4 @@ json_data = {
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)
print(chunk)

6
unfinished/openprompt/mail.py
ファイルの表示

@ -1,6 +1,8 @@
import requests
import email
import requests
class MailClient:
def __init__(self):
@ -106,4 +108,4 @@ class MailClient:
client = MailClient()
client.newtoken()
print(client.getmails())
print(client.getmails())

5
unfinished/openprompt/main.py
ファイルの表示

@ -30,8 +30,7 @@ json_data = {
],
}
response = requests.post('https://openprompt.co/api/chat2', cookies=cookies, headers=headers, json=json_data, stream=True)
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)

5
unfinished/openprompt/test.py
ファイルの表示

@ -1,7 +1,6 @@
access_token = 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOiJhdXRoZW50aWNhdGVkIiwiZXhwIjoxNjgyMjk0ODcxLCJzdWIiOiI4NWNkNTNiNC1lZTUwLTRiMDQtOGJhNS0wNTUyNjk4ODliZDIiLCJlbWFpbCI6ImNsc2J5emdqcGhiQGJ1Z2Zvby5jb20iLCJwaG9uZSI6IiIsImFwcF9tZXRhZGF0YSI6eyJwcm92aWRlciI6ImVtYWlsIiwicHJvdmlkZXJzIjpbImVtYWlsIl19LCJ1c2VyX21ldGFkYXRhIjp7fSwicm9sZSI6ImF1dGhlbnRpY2F0ZWQiLCJhYWwiOiJhYWwxIiwiYW1yIjpbeyJtZXRob2QiOiJvdHAiLCJ0aW1lc3RhbXAiOjE2ODE2OTAwNzF9XSwic2Vzc2lvbl9pZCI6ImY4MTg1YTM5LTkxYzgtNGFmMy1iNzAxLTdhY2MwY2MwMGNlNSJ9.UvcTfpyIM1TdzM8ZV6UAPWfa0rgNq4AiqeD0INy6zV'
supabase_auth_token= '%5B%22eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOiJhdXRoZW50aWNhdGVkIiwiZXhwIjoxNjgyMjk0ODcxLCJzdWIiOiI4NWNkNTNiNC1lZTUwLTRiMDQtOGJhNS0wNTUyNjk4ODliZDIiLCJlbWFpbCI6ImNsc2J5emdqcGhiQGJ1Z2Zvby5jb20iLCJwaG9uZSI6IiIsImFwcF9tZXRhZGF0YSI6eyJwcm92aWRlciI6ImVtYWlsIiwicHJvdmlkZXJzIjpbImVtYWlsIl19LCJ1c2VyX21ldGFkYXRhIjp7fSwicm9sZSI6ImF1dGhlbnRpY2F0ZWQiLCJhYWwiOiJhYWwxIiwiYW1yIjpbeyJtZXRob2QiOiJvdHAiLCJ0aW1lc3RhbXAiOjE2ODE2OTAwNzF9XSwic2Vzc2lvbl9pZCI6ImY4MTg1YTM5LTkxYzgtNGFmMy1iNzAxLTdhY2MwY2MwMGNlNSJ9.UvcTfpyIM1TdzM8ZV6UAPWfa0rgNq4AiqeD0INy6zV8%22%2C%22_Zp8uXIA2InTDKYgo8TCqA%22%2Cnull%2Cnull%2Cnull%5D'
supabase_auth_token = '%5B%22eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOiJhdXRoZW50aWNhdGVkIiwiZXhwIjoxNjgyMjk0ODcxLCJzdWIiOiI4NWNkNTNiNC1lZTUwLTRiMDQtOGJhNS0wNTUyNjk4ODliZDIiLCJlbWFpbCI6ImNsc2J5emdqcGhiQGJ1Z2Zvby5jb20iLCJwaG9uZSI6IiIsImFwcF9tZXRhZGF0YSI6eyJwcm92aWRlciI6ImVtYWlsIiwicHJvdmlkZXJzIjpbImVtYWlsIl19LCJ1c2VyX21ldGFkYXRhIjp7fSwicm9sZSI6ImF1dGhlbnRpY2F0ZWQiLCJhYWwiOiJhYWwxIiwiYW1yIjpbeyJtZXRob2QiOiJvdHAiLCJ0aW1lc3RhbXAiOjE2ODE2OTAwNzF9XSwic2Vzc2lvbl9pZCI6ImY4MTg1YTM5LTkxYzgtNGFmMy1iNzAxLTdhY2MwY2MwMGNlNSJ9.UvcTfpyIM1TdzM8ZV6UAPWfa0rgNq4AiqeD0INy6zV8%22%2C%22_Zp8uXIA2InTDKYgo8TCqA%22%2Cnull%2Cnull%2Cnull%5D'
idk = [
"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOiJhdXRoZW50aWNhdGVkIiwiZXhwIjoxNjgyMjk0ODcxLCJzdWIiOiI4NWNkNTNiNC1lZTUwLTRiMDQtOGJhNS0wNTUyNjk4ODliZDIiLCJlbWFpbCI6ImNsc2J5emdqcGhiQGJ1Z2Zvby5jb20iLCJwaG9uZSI6IiIsImFwcF9tZXRhZGF0YSI6eyJwcm92aWRlciI6ImVtYWlsIiwicHJvdmlkZXJzIjpbImVtYWlsIl19LCJ1c2VyX21ldGFkYXRhIjp7fSwicm9sZSI6ImF1dGhlbnRpY2F0ZWQiLCJhYWwiOiJhYWwxIiwiYW1yIjpbeyJtZXRob2QiOiJvdHAiLCJ0aW1lc3RhbXAiOjE2ODE2OTAwNzF9XSwic2Vzc2lvbl9pZCI6ImY4MTg1YTM5LTkxYzgtNGFmMy1iNzAxLTdhY2MwY2MwMGNlNSJ9.UvcTfpyIM1TdzM8ZV6UAPWfa0rgNq4AiqeD0INy6zV8",
"_Zp8uXIA2InTDKYgo8TCqA",None,None,None]
"_Zp8uXIA2InTDKYgo8TCqA", None, None, None]

131
unfinished/t3nsor/__init__.py
ファイルの表示

@ -1,5 +1,6 @@
from time import time
from requests import post
from time import time
headers = {
'authority': 'www.t3nsor.tech',
@ -19,18 +20,17 @@ headers = {
'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',
}
class T3nsorResponse:
class Completion:
class Choices:
def __init__(self, choice: dict) -> None:
self.text = choice['text']
self.content = self.text.encode()
self.index = choice['index']
self.logprobs = choice['logprobs']
self.finish_reason = choice['finish_reason']
self.text = choice['text']
self.content = self.text.encode()
self.index = choice['index']
self.logprobs = choice['logprobs']
self.finish_reason = choice['finish_reason']
def __repr__(self) -> str:
return f'''<__main__.APIResponse.Completion.Choices(\n text = {self.text.encode()},\n index = {self.index},\n logprobs = {self.logprobs},\n finish_reason = {self.finish_reason})object at 0x1337>'''
@ -39,99 +39,98 @@ class T3nsorResponse:
class Usage:
def __init__(self, usage_dict: dict) -> None:
self.prompt_tokens = usage_dict['prompt_chars']
self.completion_tokens = usage_dict['completion_chars']
self.total_tokens = usage_dict['total_chars']
self.prompt_tokens = usage_dict['prompt_chars']
self.completion_tokens = usage_dict['completion_chars']
self.total_tokens = usage_dict['total_chars']
def __repr__(self):
return f'''<__main__.APIResponse.Usage(\n prompt_tokens = {self.prompt_tokens},\n completion_tokens = {self.completion_tokens},\n total_tokens = {self.total_tokens})object at 0x1337>'''
def __init__(self, response_dict: dict) -> None:
self.response_dict = response_dict
self.id = response_dict['id']
self.object = response_dict['object']
self.created = response_dict['created']
self.model = response_dict['model']
self.completion = self.Completion(response_dict['choices'])
self.usage = self.Usage(response_dict['usage'])
self.response_dict = response_dict
self.id = response_dict['id']
self.object = response_dict['object']
self.created = response_dict['created']
self.model = response_dict['model']
self.completion = self.Completion(response_dict['choices'])
self.usage = self.Usage(response_dict['usage'])
def json(self) -> dict:
return self.response_dict
class Completion:
model = {
'model': {
'id' : 'gpt-3.5-turbo',
'name' : 'Default (GPT-3.5)'
'id': 'gpt-3.5-turbo',
'name': 'Default (GPT-3.5)'
}
}
def create(
prompt: str = 'hello world',
messages: list = []) -> T3nsorResponse:
response = post('https://www.t3nsor.tech/api/chat', headers = headers, json = Completion.model | {
'messages' : messages,
'key' : '',
'prompt' : prompt
prompt: str = 'hello world',
messages: list = []) -> T3nsorResponse:
response = post('https://www.t3nsor.tech/api/chat', headers=headers, json=Completion.model | {
'messages': messages,
'key': '',
'prompt': prompt
})
return T3nsorResponse({
'id' : f'cmpl-1337-{int(time())}',
'object' : 'text_completion',
'created': int(time()),
'model' : Completion.model,
'id': f'cmpl-1337-{int(time())}',
'object': 'text_completion',
'created': int(time()),
'model': Completion.model,
'choices': [{
'text' : response.text,
'index' : 0,
'logprobs' : None,
'finish_reason' : 'stop'
}],
'text': response.text,
'index': 0,
'logprobs': None,
'finish_reason': 'stop'
}],
'usage': {
'prompt_chars' : len(prompt),
'completion_chars' : len(response.text),
'total_chars' : len(prompt) + len(response.text)
'prompt_chars': len(prompt),
'completion_chars': len(response.text),
'total_chars': len(prompt) + len(response.text)
}
})
class StreamCompletion:
model = {
'model': {
'id' : 'gpt-3.5-turbo',
'name' : 'Default (GPT-3.5)'
'id': 'gpt-3.5-turbo',
'name': 'Default (GPT-3.5)'
}
}
def create(
prompt: str = 'hello world',
messages: list = []) -> T3nsorResponse:
prompt: str = 'hello world',
messages: list = []) -> T3nsorResponse:
print('t3nsor api is down, this may not work, refer to another module')
response = post('https://www.t3nsor.tech/api/chat', headers = headers, stream = True, json = Completion.model | {
'messages' : messages,
'key' : '',
'prompt' : prompt
response = post('https://www.t3nsor.tech/api/chat', headers=headers, stream=True, json=Completion.model | {
'messages': messages,
'key': '',
'prompt': prompt
})
for chunk in response.iter_content(chunk_size = 2046):
for chunk in response.iter_content(chunk_size=2046):
yield T3nsorResponse({
'id' : f'cmpl-1337-{int(time())}',
'object' : 'text_completion',
'created': int(time()),
'model' : Completion.model,
'id': f'cmpl-1337-{int(time())}',
'object': 'text_completion',
'created': int(time()),
'model': Completion.model,
'choices': [{
'text' : chunk.decode(),
'index' : 0,
'logprobs' : None,
'finish_reason' : 'stop'
'text': chunk.decode(),
'index': 0,
'logprobs': None,
'finish_reason': 'stop'
}],
'usage': {
'prompt_chars' : len(prompt),
'completion_chars' : len(chunk.decode()),
'total_chars' : len(prompt) + len(chunk.decode())
'prompt_chars': len(prompt),
'completion_chars': len(chunk.decode()),
'total_chars': len(prompt) + len(chunk.decode())
}
})

8
unfinished/test.py
ファイルの表示

@ -1,12 +1,8 @@
import gptbz
import asyncio
# asyncio.run(gptbz.test())
import requests
image = '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'
response = requests.get('https://ocr.holey.cc/ncku?base64_str=%s' % image) #.split('base64,')[1])
print(response.content)
response = requests.get('https://ocr.holey.cc/ncku?base64_str=%s' % image) # .split('base64,')[1])
print(response.content)

45
unfinished/theb.ai/__init__.py
ファイルの表示

@ -1,46 +1,49 @@
from curl_cffi import requests
from json import loads
from re import findall
from threading import Thread
from queue import Queue, Empty
from json import loads
from queue import Queue, Empty
from re import findall
from threading import Thread
from curl_cffi import requests
class Completion:
# experimental
part1 = '{"role":"assistant","id":"chatcmpl'
part2 = '"},"index":0,"finish_reason":null}]}}'
regex = rf'{part1}(.*){part2}'
timer = None
message_queue = Queue()
timer = None
message_queue = Queue()
stream_completed = False
def request():
headers = {
'authority' : 'chatbot.theb.ai',
'authority': 'chatbot.theb.ai',
'content-type': 'application/json',
'origin' : 'https://chatbot.theb.ai',
'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',
'origin': 'https://chatbot.theb.ai',
'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',
}
requests.post('https://chatbot.theb.ai/api/chat-process', headers=headers, content_callback=Completion.handle_stream_response,
json = {
'prompt' : 'hello world',
'options': {}
}
)
requests.post('https://chatbot.theb.ai/api/chat-process', headers=headers,
content_callback=Completion.handle_stream_response,
json={
'prompt': 'hello world',
'options': {}
}
)
Completion.stream_completed = True
@staticmethod
def create():
Thread(target=Completion.request).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)
except Empty:
pass
@ -48,10 +51,12 @@ class Completion:
def handle_stream_response(response):
Completion.message_queue.put(response.decode())
def start():
for message in Completion.create():
yield message['delta']
if __name__ == '__main__':
for message in start():
print(message)

6
unfinished/vercelai/v2.py
ファイルの表示

@ -1,6 +1,5 @@
import requests
token = requests.get('https://play.vercel.ai/openai.jpeg', headers={
'authority': 'play.vercel.ai',
'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',
@ -15,7 +14,7 @@ headers = {
'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'
}
for chunk in requests.post('https://play.vercel.ai/api/generate', headers=headers, stream = True, json = {
for chunk in requests.post('https://play.vercel.ai/api/generate', headers=headers, stream=True, json={
'prompt': 'hi',
'model': 'openai:gpt-3.5-turbo',
'temperature': 0.7,
@ -25,5 +24,4 @@ for chunk in requests.post('https://play.vercel.ai/api/generate', headers=header
'frequencyPenalty': 1,
'presencePenalty': 1,
'stopSequences': []}).iter_lines():
print(chunk)
print(chunk)

195
unfinished/writesonic/__init__.py
ファイルの表示

@ -1,29 +1,33 @@
from requests import Session
from names import get_first_name, get_last_name
from random import choice
from requests import post
from time import time
from colorama import Fore, init; init()
from random import choice
from time import time
from colorama import Fore, init;
from names import get_first_name, get_last_name
from requests import Session
from requests import post
init()
class logger:
@staticmethod
def info(string) -> print:
import datetime
now = datetime.datetime.now()
return print(f"{Fore.CYAN}{now.strftime('%Y-%m-%d %H:%M:%S')} {Fore.BLUE}INFO {Fore.MAGENTA}__main__ -> {Fore.RESET}{string}")
return print(
f"{Fore.CYAN}{now.strftime('%Y-%m-%d %H:%M:%S')} {Fore.BLUE}INFO {Fore.MAGENTA}__main__ -> {Fore.RESET}{string}")
class SonicResponse:
class Completion:
class Choices:
def __init__(self, choice: dict) -> None:
self.text = choice['text']
self.content = self.text.encode()
self.index = choice['index']
self.logprobs = choice['logprobs']
self.finish_reason = choice['finish_reason']
self.text = choice['text']
self.content = self.text.encode()
self.index = choice['index']
self.logprobs = choice['logprobs']
self.finish_reason = choice['finish_reason']
def __repr__(self) -> str:
return f'''<__main__.APIResponse.Completion.Choices(\n text = {self.text.encode()},\n index = {self.index},\n logprobs = {self.logprobs},\n finish_reason = {self.finish_reason})object at 0x1337>'''
@ -32,127 +36,128 @@ class SonicResponse:
class Usage:
def __init__(self, usage_dict: dict) -> None:
self.prompt_tokens = usage_dict['prompt_chars']
self.completion_tokens = usage_dict['completion_chars']
self.total_tokens = usage_dict['total_chars']
self.prompt_tokens = usage_dict['prompt_chars']
self.completion_tokens = usage_dict['completion_chars']
self.total_tokens = usage_dict['total_chars']
def __repr__(self):
return f'''<__main__.APIResponse.Usage(\n prompt_tokens = {self.prompt_tokens},\n completion_tokens = {self.completion_tokens},\n total_tokens = {self.total_tokens})object at 0x1337>'''
def __init__(self, response_dict: dict) -> None:
self.response_dict = response_dict
self.id = response_dict['id']
self.object = response_dict['object']
self.created = response_dict['created']
self.model = response_dict['model']
self.completion = self.Completion(response_dict['choices'])
self.usage = self.Usage(response_dict['usage'])
self.response_dict = response_dict
self.id = response_dict['id']
self.object = response_dict['object']
self.created = response_dict['created']
self.model = response_dict['model']
self.completion = self.Completion(response_dict['choices'])
self.usage = self.Usage(response_dict['usage'])
def json(self) -> dict:
return self.response_dict
class Account:
session = Session()
session.headers = {
"connection" : "keep-alive",
"sec-ch-ua" : "\"Not_A Brand\";v=\"99\", \"Google Chrome\";v=\"109\", \"Chromium\";v=\"109\"",
"accept" : "application/json, text/plain, */*",
"content-type" : "application/json",
"sec-ch-ua-mobile" : "?0",
"user-agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36",
"connection": "keep-alive",
"sec-ch-ua": "\"Not_A Brand\";v=\"99\", \"Google Chrome\";v=\"109\", \"Chromium\";v=\"109\"",
"accept": "application/json, text/plain, */*",
"content-type": "application/json",
"sec-ch-ua-mobile": "?0",
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36",
"sec-ch-ua-platform": "\"Windows\"",
"sec-fetch-site" : "same-origin",
"sec-fetch-mode" : "cors",
"sec-fetch-dest" : "empty",
"sec-fetch-site": "same-origin",
"sec-fetch-mode": "cors",
"sec-fetch-dest": "empty",
# "accept-encoding" : "gzip, deflate, br",
"accept-language" : "en-GB,en-US;q=0.9,en;q=0.8",
"cookie" : ""
"accept-language": "en-GB,en-US;q=0.9,en;q=0.8",
"cookie": ""
}
@staticmethod
def get_user():
password = f'0opsYouGoTme@1234'
f_name = get_first_name()
l_name = get_last_name()
hosts = ['gmail.com', 'protonmail.com', 'proton.me', 'outlook.com']
f_name = get_first_name()
l_name = get_last_name()
hosts = ['gmail.com', 'protonmail.com', 'proton.me', 'outlook.com']
return {
"email" : f"{f_name.lower()}.{l_name.lower()}@{choice(hosts)}",
"password" : password,
"confirm_password" : password,
"full_name" : f'{f_name} {l_name}'
"email": f"{f_name.lower()}.{l_name.lower()}@{choice(hosts)}",
"password": password,
"confirm_password": password,
"full_name": f'{f_name} {l_name}'
}
@staticmethod
def create(logging: bool = False):
while True:
try:
user = Account.get_user()
start = time()
response = Account.session.post("https://app.writesonic.com/api/session-login", json = user | {
"utmParams" : "{}",
"visitorId" : "0",
"locale" : "en",
"userAgent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36",
"signInWith" : "password",
"request_type" : "signup",
user = Account.get_user()
start = time()
response = Account.session.post("https://app.writesonic.com/api/session-login", json=user | {
"utmParams": "{}",
"visitorId": "0",
"locale": "en",
"userAgent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36",
"signInWith": "password",
"request_type": "signup",
})
if logging:
logger.info(f"\x1b[31mregister success\x1b[0m : '{response.text[:30]}...' ({int(time() - start)}s)")
logger.info(f"\x1b[31mid\x1b[0m : '{response.json()['id']}'")
logger.info(f"\x1b[31mtoken\x1b[0m : '{response.json()['token'][:30]}...'")
start = time()
response = Account.session.post("https://api.writesonic.com/v1/business/set-business-active", headers={"authorization": "Bearer " + response.json()['token']})
response = Account.session.post("https://api.writesonic.com/v1/business/set-business-active",
headers={"authorization": "Bearer " + response.json()['token']})
key = response.json()["business"]["api_key"]
if logging: logger.info(f"\x1b[31mgot key\x1b[0m : '{key}' ({int(time() - start)}s)")
return Account.AccountResponse(user['email'], user['password'], key)
except Exception as e:
if logging: logger.info(f"\x1b[31merror\x1b[0m : '{e}'")
continue
class AccountResponse:
def __init__(self, email, password, key):
self.email = email
self.email = email
self.password = password
self.key = key
self.key = key
class Completion:
def create(
api_key: str,
prompt: str,
enable_memory: bool = False,
enable_google_results: bool = False,
history_data: list = []) -> SonicResponse:
response = post('https://api.writesonic.com/v2/business/content/chatsonic?engine=premium', headers = {"X-API-KEY": api_key},
json = {
"enable_memory" : enable_memory,
"enable_google_results" : enable_google_results,
"input_text" : prompt,
"history_data" : history_data}).json()
api_key: str,
prompt: str,
enable_memory: bool = False,
enable_google_results: bool = False,
history_data: list = []) -> SonicResponse:
response = post('https://api.writesonic.com/v2/business/content/chatsonic?engine=premium',
headers={"X-API-KEY": api_key},
json={
"enable_memory": enable_memory,
"enable_google_results": enable_google_results,
"input_text": prompt,
"history_data": history_data}).json()
return SonicResponse({
'id' : f'cmpl-premium-{int(time())}',
'object' : 'text_completion',
'created': int(time()),
'model' : 'premium',
'choices': [{
'text' : response['message'],
'index' : 0,
'logprobs' : None,
'finish_reason' : 'stop'
}],
'usage': {
'prompt_chars' : len(prompt),
'completion_chars' : len(response['message']),
'total_chars' : len(prompt) + len(response['message'])
}
})
'id': f'cmpl-premium-{int(time())}',
'object': 'text_completion',
'created': int(time()),
'model': 'premium',
'choices': [{
'text': response['message'],
'index': 0,
'logprobs': None,
'finish_reason': 'stop'
}],
'usage': {
'prompt_chars': len(prompt),
'completion_chars': len(response['message']),
'total_chars': len(prompt) + len(response['message'])
}
})

26
you/__init__.py
ファイルの表示

@ -9,19 +9,19 @@ from tls_client import Session
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,
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,
) -> dict:
if chat is None:
chat = []