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# Free LLM APIs
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.
> **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.
## Table of Contents
- [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)
## Current Sites <a name="current-sites"></a>
| 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|
## Sites with Authentication <a name="sites-with-authentication"></a>
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>
```python
# Import poe
import poe
# poe.Account.create
# poe.Completion.create
# poe.StreamCompletion.create
[...]
```
#### Create Token (3-6s)
```python
token = poe.Account.create(logging = True)
print('token', token)
```
#### Streaming Response
```python
for response in poe.StreamingCompletion.create(model = 'gpt-4',
prompt = 'hello world',
token = token):
print(response.completion.choices[0].text, end="", flush=True)
```
#### Normal Response:
```python
response = poe.Completion.create(model = 'gpt-4',
prompt = 'hello world',
token = token)
print(response.completion.choices[0].text)
```
### Example: `t3nsor` (use like openai pypi package) <a name="example-t3nsor"></a>
```python
# Import t3nsor
import t3nsor
# t3nsor.Completion.create
# t3nsor.StreamCompletion.create
[...]
```
#### Example Chatbot
```python
messages = []
while True:
user = input('you: ')
t3nsor_cmpl = t3nsor.Completion.create(
prompt = user,
messages = messages
)
print('gpt:', t3nsor_cmpl.completion.choices[0].text)
messages.extend([
{'role': 'user', 'content': user },
{'role': 'assistant', 'content': t3nsor_cmpl.completion.choices[0].text}
])
```
#### Streaming Response:
```python
for response in t3nsor.StreamCompletion.create(
prompt = 'write python code to reverse a string',
messages = []):
print(response.completion.choices[0].text)
```
### Example: `ora` (use like openai pypi package) <a name="example-ora"></a>
```python
# import ora
import ora
[...]
```
#### create model / chatbot:
```python
# 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)
```
## Dependencies
The repository is written in Python and requires the following packages:
* websocket-client
* requests
* tls-client
You can install these packages using the provided `requirements.txt` file.
## Repository structure:
.
├── ora/
├── poe/
├── t3nsor/
├── README.md <-- this file.
└── requirements.txt
|
