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# Free LLM APIs
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This repository provides reverse-engineered language models from various sources. Some of these models are already available in the repo, while others are currently being worked on.
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> **Important:** If you come across any website offering free language models, please create an issue or submit a pull request with the details. We will reverse engineer it and add it to this repository.
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## To-Do List
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- [ ] implement poe.com create bot feature (4)
- [ ] poe.com chat history management (3)
- [ ] renaming the 'poe' module to 'quora' (2)
- [ ] add you.com api (1)
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## Table of Contents
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- [Current Sites (No Authentication / Easy Account Creation) ](#current-sites )
- [Sites with Authentication (Will Reverse Engineer but Need Account Access) ](#sites-with-authentication )
- [Usage Examples ](#usage-examples )
- [`poe` ](#example-poe )
- [`t3nsor` ](#example-t3nsor )
- [`ora` ](#example-ora )
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- [`writesonic` ](#example-writesonic )
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## Current Sites <a name="current-sites"></a>
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| Website | Model(s) |
| -------------------------- | -------------------- |
| [ora.sh ](https://ora.sh ) | GPT-3.5 |
| [nat.dev ](https://nat.dev ) | GPT-4/3.5 (paid now, looking for bypass)|
| [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|
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## Sites with Authentication <a name="sites-with-authentication"></a>
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These sites will be reverse engineered but need account access:
* [chat.openai.com/chat ](https://chat.openai.com/chat )
* [bard.google.com ](https://bard.google.com )
* [bing.com/chat ](https://bing.com/chat )
## Usage Examples <a name="usage-examples"></a>
### Example: `poe` (use like openai pypi package) - GPT-4 <a name="example-poe"></a>
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```python
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# Import poe
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import poe
# poe.Account.create
# poe.Completion.create
# poe.StreamCompletion.create
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[...]
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```
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#### Create Token (3-6s)
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```python
token = poe.Account.create(logging = True)
print('token', token)
```
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#### Streaming Response
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```python
for response in poe.StreamingCompletion.create(model = 'gpt-4',
prompt = 'hello world',
token = token):
print(response.completion.choices[0].text, end="", flush=True)
```
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#### Normal Response:
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```python
response = poe.Completion.create(model = 'gpt-4',
prompt = 'hello world',
token = token)
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print(response.completion.choices[0].text)
```
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### Example: `t3nsor` (use like openai pypi package) <a name="example-t3nsor"></a>
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```python
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# Import t3nsor
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import t3nsor
# t3nsor.Completion.create
# t3nsor.StreamCompletion.create
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[...]
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```
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#### Example Chatbot
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```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}
])
```
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#### Streaming Response:
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```python
for response in t3nsor.StreamCompletion.create(
prompt = 'write python code to reverse a string',
messages = []):
print(response.completion.choices[0].text)
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```
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### Example: `ora` (use like openai pypi package) <a name="example-ora"></a>
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```python
# import ora
import ora
[...]
```
#### create model / chatbot:
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```python
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# inport ora
import ora
# create model
model = ora.CompletionModel.create(
system_prompt = 'You are ChatGPT, a large language model trained by OpenAI. Answer as concisely as possible',
description = 'ChatGPT Openai Language Model',
name = 'gpt-3.5')
# init conversation (will give you a conversationId)
init = ora.Completion.create(
model = model,
prompt = 'hello world')
print(init.completion.choices[0].text)
while True:
# pass in conversationId to continue conversation
prompt = input('>>> ')
response = ora.Completion.create(
model = model,
prompt = prompt,
conversationId = init.id)
print(response.completion.choices[0].text)
```
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### Example: `writesonic` (use like openai pypi package) <a name="example-writesonic"></a>
```python
# 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 ...
```
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## Dependencies
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The repository is written in Python and requires the following packages:
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* websocket-client
* requests
* tls-client
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You can install these packages using the provided `requirements.txt` file.
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## Repository structure:
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.
├── ora/
├── poe/
├── t3nsor/
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├── writesonic/
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├── README.md < -- this file .
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└── requirements.txt