decentralising the Ai Industry, just some language model api's...
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By using this repository or any code related to it, you agree to the legal notice. The author is not responsible for any copies, forks, or reuploads made by other users. This is the author's only account and repository. To prevent impersonation or irresponsible actions, you may comply with the GNU GPL license this Repository uses.

This (quite censored) New Version of gpt4free, was just released, it may contain bugs, open an issue or contribute a PR when encountering one, some features were disabled. Docker is for now not available but I would be happy if someone contributes a PR. The g4f GUI will be uploaded soon enough.

Table of Contents:

Getting Started

Prerequisites:

  1. Download and install Python (Version 3.x is recommended).

Setting up the project:

  1. Clone the GitHub repository:
git clone https://github.com/xtekky/gpt4free.git
  1. Navigate to the project directory:
cd gpt4free
  1. (Recommended) Create a virtual environment to manage Python packages for your project:
python3 -m venv venv
  1. Activate the virtual environment:
    • On Windows:
    .\venv\Scripts\activate
    
    • On macOS and Linux:
    source venv/bin/activate
    
  2. Install the required Python packages from requirements.txt:
pip install -r requirements.txt
  1. Create a test.py file in the root folder and start using the repo, further Instructions are below
import g4f

...

Usage

The g4f Package

import g4f


print(g4f.Provider.Ails.params) # supported args

# Automatic selection of provider

# streamed completion
response = g4f.ChatCompletion.create(model='gpt-3.5-turbo', messages=[
                                     {"role": "user", "content": "Hello world"}], stream=True)

for message in response:
    print(message)

# normal response
response = g4f.ChatCompletion.create(model=g4f.Model.gpt_4, messages=[
                                     {"role": "user", "content": "hi"}]) # alterative model setting

print(response)


# Set with provider
response = g4f.ChatCompletion.create(model='gpt-3.5-turbo', provider=g4f.Provider.Forefront, messages=[
                                     {"role": "user", "content": "Hello world"}], stream=True)

for message in response:
    print(message)

providers:

from g4f.Provider import (
    Ails,
    You,
    Bing,
    Yqcloud,
    Theb,
    Aichat,
    Bard,
    Vercel,
    Forefront,
    Lockchat,
    Liaobots,
    H2o,
    ChatgptLogin,
    DeepAi,
    GetGpt
)

# usage:
response = g4f.ChatCompletion.create(..., provider=ProviderName)

interference openai-proxy api (use with openai python package)

run server:

python3 -m interference.app
import openai

openai.api_key = ''
openai.api_base = 'http://127.0.0.1:1337'

chat_completion = openai.ChatCompletion.create(stream=True,
    model='gpt-3.5-turbo', messages=[{'role': 'user', 'content': 'write a poem about a tree'}])

#print(chat_completion.choices[0].message.content)

for token in chat_completion:
    
    content = token['choices'][0]['delta'].get('content')
    if content != None:
        print(content)

Models

gpt-3.5 / gpt-4

Website Provider gpt-3.5 gpt-4 Streaming Status Auth
bing.com g4f.Provider.Bing ✔️ ✔️ ✔️ Active
super.lockchat.app g4f.Provider.Lockchat ✔️ ✔️ ✔️ Active
liaobots.com g4f.Provider.Liaobots ✔️ ✔️ ✔️ Inactive ✔️
ai.ls g4f.Provider.Ails ✔️ ✔️ Active
you.com g4f.Provider.You ✔️ ✔️ Active
chat9.yqcloud.top g4f.Provider.Yqcloud ✔️ ✔️ Active
theb.ai g4f.Provider.Theb ✔️ ✔️ Active
play.vercel.ai g4f.Provider.Vercel ✔️ ✔️ Active
forefront.com g4f.Provider.Forefront ✔️ ✔️ Active
deepai.org g4f.Provider.DeepAi ✔️ ✔️ Active
chat.getgpt.world g4f.Provider.GetGpt ✔️ ✔️ Active
chatgptlogin.ac g4f.Provider.ChatgptLogin ✔️ Active
chat-gpt.org g4f.Provider.Aichat ✔️ Active

Other Models

Model Base Provider Provider Website
palm2 Google g4f.Provider.Bard bard.google.com
falcon-40b Huggingface g4f.Provider.H2o H2o
falcon-7b Huggingface g4f.Provider.H2o H2o
llama-13b Huggingface g4f.Provider.H2o H2o
claude-instant-v1-100k Anthropic g4f.Provider.Vercel sdk.vercel.ai
claude-instant-v1 Anthropic g4f.Provider.Vercel sdk.vercel.ai
claude-v1-100k Anthropic g4f.Provider.Vercel sdk.vercel.ai
claude-v1 Anthropic g4f.Provider.Vercel sdk.vercel.ai
alpaca-7b Replicate g4f.Provider.Vercel sdk.vercel.ai
stablelm-tuned-alpha-7b Replicate g4f.Provider.Vercel sdk.vercel.ai
bloom Huggingface g4f.Provider.Vercel sdk.vercel.ai
bloomz Huggingface g4f.Provider.Vercel sdk.vercel.ai
flan-t5-xxl Huggingface g4f.Provider.Vercel sdk.vercel.ai
flan-ul2 Huggingface g4f.Provider.Vercel sdk.vercel.ai
gpt-neox-20b Huggingface g4f.Provider.Vercel sdk.vercel.ai
oasst-sft-4-pythia-12b-epoch-3.5 Huggingface g4f.Provider.Vercel sdk.vercel.ai
santacoder Huggingface g4f.Provider.Vercel sdk.vercel.ai
command-medium-nightly Cohere g4f.Provider.Vercel sdk.vercel.ai
command-xlarge-nightly Cohere g4f.Provider.Vercel sdk.vercel.ai
code-cushman-001 OpenAI g4f.Provider.Vercel sdk.vercel.ai
code-davinci-002 OpenAI g4f.Provider.Vercel sdk.vercel.ai
text-ada-001 OpenAI g4f.Provider.Vercel sdk.vercel.ai
text-babbage-001 OpenAI g4f.Provider.Vercel sdk.vercel.ai
text-curie-001 OpenAI g4f.Provider.Vercel sdk.vercel.ai
text-davinci-002 OpenAI g4f.Provider.Vercel sdk.vercel.ai
text-davinci-003 OpenAI g4f.Provider.Vercel sdk.vercel.ai
🎁 Projects Stars 📚 Forks 🛎 Issues 📬 Pull requests
gpt4free Stars Forks Issues Pull Requests
gpt4free-ts Stars Forks Issues Pull Requests
ChatGPT-Clone Stars Forks Issues Pull Requests
ChatGpt Discord Bot Stars Forks Issues Pull Requests

Contribute

to add another provider, its very simple:

  1. create a new file in g4f/Provider/Providers with the name of the Provider
  2. in the file, paste the Boilerplate you can find in g4f/Provider/Provider.py:
import os
from ..typing import sha256, Dict, get_type_hints

url = None
model = None
supports_stream = False
needs_auth = False

def _create_completion(model: str, messages: list, stream: bool, **kwargs):
    return


params = f'g4f.Providers.{os.path.basename(__file__)[:-3]} supports: ' + \
    '(%s)' % ', '.join(
        [f"{name}: {get_type_hints(_create_completion)[name].__name__}" for name in _create_completion.__code__.co_varnames[:_create_completion.__code__.co_argcount]])

  1. Here, you can adjust the settings, for example if the website does support streaming, set supports_stream to True...
  2. Write code to request the provider in _create_completion and yield the response, even if its a one-time response, do not hesitate to look at other providers for inspiration
  3. Add the Provider Name in g4f/Provider/init.py
from . import Provider
from .Providers import (
    ...,
    ProviderNameHere
)
  1. You are done !, test the provider by calling it:
import g4f

response = g4f.ChatCompletion.create(model='gpt-3.5-turbo', provider=g4f.Provider.PROVIDERNAME,
                                    messages=[{"role": "user", "content": "test"}], stream=g4f.Provider.PROVIDERNAME.supports_stream)

for message in response:
    print(message, flush=True, end='')

ChatGPT clone

Currently implementing new features and trying to scale it, please be patient it may be unstable
https://chat.g4f.ai/chat This site was developed by me and includes gpt-4/3.5, internet access and gpt-jailbreak's like DAN
Run locally here: https://github.com/xtekky/chatgpt-clone

This program is licensed under the GNU GPL v3

xtekky/gpt4free: Copyright (C) 2023 xtekky

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program.  If not, see <https://www.gnu.org/licenses/>.

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