gpt4free/README.md

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

New

• pypi package:

pip install -U g4f

Table of Contents:

• Table of Contents:
• Getting Started
  • Prerequisites:
  • Setting up the project:
    • Install using pypi
    • or
    • Setting up with Docker:
• Usage
  • The g4f Package
  • interference openai-proxy api (use with openai python package)
• Models
  • gpt-3.5 / gpt-4
  • Other Models
• Related gpt4free projects
• Contribute
• ChatGPT clone
• Copyright:
• Copyright Notice:
• Star History

Getting Started

Prerequisites:

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

Setting up the project:

Install using pypi

pip install -U g4f

or

1. Clone the GitHub repository:

git clone https://github.com/xtekky/gpt4free.git

2. Navigate to the project directory:

cd gpt4free

3. (Recommended) Create a virtual environment to manage Python packages for your project:

python3 -m venv venv

4. Activate the virtual environment:
   • On Windows:

   .\venv\Scripts\activate
   

   • On macOS and Linux:

   source venv/bin/activate
   

5. Install the required Python packages from requirements.txt:

pip install -r requirements.txt

6. Create a test.py file in the root folder and start using the repo, further Instructions are below

import g4f

...

Setting up with Docker:

If you have Docker installed, you can easily set up and run the project without manually installing dependencies.

1. First, ensure you have both Docker and Docker Compose installed.

   • Install Docker
   • Install Docker Compose

2. Clone the GitHub repo:

git clone https://github.com/xtekky/gpt4free.git

3. Navigate to the project directory:

cd gpt4free

4. Build the Docker image:

docker compose build

5. Start the service using Docker Compose:

docker compose up

You server will now be running at http://localhost:1337. You can interact with the API or run your tests as you would normally.

To stop the Docker containers, simply run:

docker compose down

Note: When using Docker, any changes you make to your local files will be reflected in the Docker container thanks to the volume mapping in the docker-compose.yml file. If you add or remove dependencies, however, you'll need to rebuild the Docker image using docker compose build.

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, flush=True, end='')

# normal response
response = g4f.ChatCompletion.create(
    model=g4f.models.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.DeepAi,
    messages=[{"role": "user", "content": "Hello world"}],
    stream=True,
)

for message in response:
    print(message)

Providers:

from g4f.Provider import (
    Acytoo,
    Aichat,
    Ails,
    Bard,
    Bing,
    ChatgptAi,
    ChatgptLogin,
    DeepAi,
    EasyChat,
    Equing,
    GetGpt,
    H2o,
    HuggingChat,
    Opchatgpts,
    OpenAssistant,
    OpenaiChat,
    Raycast,
    Theb,
    Vercel,
    Wewordle,
    Wuguokai,
    You,
    Yqcloud
)
# Usage:
response = g4f.ChatCompletion.create(..., provider=ProviderName)

Needs cookies:

Many providers need cookies to work. In Bing you need a session, where you have passed the captcha. And in others providers you have to log-in into your account. If you run the g4l package locally, cookies from your browsers are readed with get_cookies. Else you have pass them in the parameter cookies:

import g4f
from g4f.Provider import (
    Bard,
    Bing,
    H2o,
    HuggingChat,
    OpenAssistant,
    OpenaiChat,
    You,
)
# Usage:
response = g4f.ChatCompletion.create(
    model=g4f.models.default,
    messages=[{"role": "user", "content": "Hello"}],
    provider=Bard,
    #cookies=g4f.get_cookies(".google.com"),
    cookies={"cookie_name": "value", "cookie_name2": "value2"},
    auth=True
)

Async support:

Run providers async to improve speed / performance. The full execution time corresponds to the execution time of the slowest provider.

import g4f, asyncio

async def run_async():
  _providers = [
      g4f.Provider.Bard,
      g4f.Provider.Bing,
      g4f.Provider.H2o,
      g4f.Provider.HuggingChat,
      g4f.Provider.Liaobots,
      g4f.Provider.OpenAssistant,
      g4f.Provider.OpenaiChat,
      g4f.Provider.You,
      g4f.Provider.Yqcloud,
  ]
  responses = [
      provider.create_async(
          model=None,
          messages=[{"role": "user", "content": "Hello"}],
      )
      for provider in _providers
  ]
  responses = await asyncio.gather(*responses)
  for idx, provider in enumerate(_providers):
      print(f"{provider.__name__}:", responses[idx])

asyncio.run(run_async())

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

get requirements:

pip install -r interference/requirements.txt

run server:

python3 -m interference.app

import openai

openai.api_key = ""
openai.api_base = "http://localhost:1337"


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

    if isinstance(chat_completion, dict):
        # not stream
        print(chat_completion.choices[0].message.content)
    else:
        # stream
        for token in chat_completion:
            content = token["choices"][0]["delta"].get("content")
            if content != None:
                print(content, end="", flush=True)


if __name__ == "__main__":
    main()

Models

gpt-3.5 / gpt-4

Website	Provider	gpt-3.5	gpt-4	Streaming	Status	Auth
chat.acytoo.com	g4f.provider.Acytoo	✔️	❌	❌		❌
chat-gpt.org	g4f.provider.Aichat	✔️	❌	❌		❌
ai.ls	g4f.provider.Ails	✔️	❌	✔️		❌
bard.google.com	g4f.provider.Bard	❌	❌	❌		✔️
bing.com	g4f.provider.Bing	❌	✔️	✔️		✔️
chatgpt.ai	g4f.provider.ChatgptAi	❌	✔️	❌		❌
opchatgpts.net	g4f.provider.ChatgptLogin	✔️	❌	❌		❌
deepai.org	g4f.provider.DeepAi	✔️	❌	✔️		❌
free.easychat.work	g4f.provider.EasyChat	✔️	❌	✔️		❌
next.eqing.tech	g4f.provider.Equing	✔️	❌	✔️		❌
chat.getgpt.world	g4f.provider.GetGpt	✔️	❌	✔️		❌
gpt-gm.h2o.ai	g4f.provider.H2o	❌	❌	✔️		❌
huggingface.co	g4f.provider.HuggingChat	❌	❌	❌		✔️
liaobots.com	g4f.provider.Liaobots	✔️	✔️	✔️		❌
opchatgpts.net	g4f.provider.Opchatgpts	✔️	❌	❌		❌
open-assistant.io	g4f.provider.OpenAssistant	❌	❌	❌		✔️
chat.openai.com	g4f.provider.OpenaiChat	✔️	✔️	✔️		✔️
raycast.com	g4f.provider.Raycast	✔️	✔️	✔️		✔️
theb.ai	g4f.provider.Theb	✔️	❌	✔️		✔️
play.vercel.ai	g4f.provider.Vercel	✔️	❌	❌		❌
wewordle.org	g4f.provider.Wewordle	✔️	❌	❌		❌
chat.wuguokai.xyz	g4f.provider.Wuguokai	✔️	❌	❌		❌
you.com	g4f.provider.You	✔️	❌	✔️		❌
chat9.yqcloud.top	g4f.provider.Yqcloud	✔️	❌	❌		❌
www.aitianhu.com	g4f.provider.AItianhu	✔️	❌	❌		❌
aiservice.vercel.app	g4f.provider.AiService	✔️	❌	❌		❌
chat.dfehub.com	g4f.provider.DfeHub	✔️	❌	✔️		❌
chat9.fastgpt.me	g4f.provider.FastGpt	✔️	❌	✔️		❌
forefront.com	g4f.provider.Forefront	✔️	❌	✔️		❌
supertest.lockchat.app	g4f.provider.Lockchat	✔️	✔️	✔️		❌
p5.v50.ltd	g4f.provider.V50	✔️	❌	❌		❌

Other Models

Model	Base Provider	Provider	Website
palm	Google	g4f.Provider.Bard	bard.google.com
h2ogpt-gm-oasst1-en-2048-falcon-7b-v3	Huggingface	g4f.Provider.H2o	www.h2o.ai
h2ogpt-gm-oasst1-en-2048-falcon-40b-v1	Huggingface	g4f.Provider.H2o	www.h2o.ai
h2ogpt-gm-oasst1-en-2048-open-llama-13b	Huggingface	g4f.Provider.H2o	www.h2o.ai
claude-instant-v1	Anthropic	g4f.Provider.Vercel	sdk.vercel.ai
claude-v1	Anthropic	g4f.Provider.Vercel	sdk.vercel.ai
claude-v2	Anthropic	g4f.Provider.Vercel	sdk.vercel.ai
command-light-nightly	Cohere	g4f.Provider.Vercel	sdk.vercel.ai
command-nightly	Cohere	g4f.Provider.Vercel	sdk.vercel.ai
gpt-neox-20b	Huggingface	g4f.Provider.Vercel	sdk.vercel.ai
oasst-sft-1-pythia-12b	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
bloom	Huggingface	g4f.Provider.Vercel	sdk.vercel.ai
flan-t5-xxl	Huggingface	g4f.Provider.Vercel	sdk.vercel.ai
code-davinci-002	OpenAI	g4f.Provider.Vercel	sdk.vercel.ai
gpt-3.5-turbo-16k	OpenAI	g4f.Provider.Vercel	sdk.vercel.ai
gpt-3.5-turbo-16k-0613	OpenAI	g4f.Provider.Vercel	sdk.vercel.ai
gpt-4-0613	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
llama13b-v2-chat	Replicate	g4f.Provider.Vercel	sdk.vercel.ai
llama7b-v2-chat	Replicate	g4f.Provider.Vercel	sdk.vercel.ai

Related gpt4free projects

🎁 Projects	⭐ Stars	📚 Forks	🛎 Issues	📬 Pull requests
gpt4free
gpt4free-ts
ChatGPT-Clone
ChatGpt Discord Bot
LangChain gpt4free
ChatGpt Telegram Bot
Action Translate Readme
Langchain Document GPT

Contribute

to add another provider, its very simple:

1. create a new file in g4f/provider with the name of the Provider
2. Implement a class that extends BaseProvider.

from .base_provider import BaseProvider
from ..typing import CreateResult, Any


class HogeService(BaseProvider):
    url = "http://hoge.com"
    working = True
    supports_gpt_35_turbo = True

    @staticmethod
    def create_completion(
        model: str,
        messages: list[dict[str, str]],
        stream: bool,
        **kwargs: Any,
    ) -> CreateResult:
        pass

3. Here, you can adjust the settings, for example if the website does support streaming, set working to True...
4. 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
5. Add the Provider Name in g4f/provider/init.py

from .base_provider import BaseProvider
from .HogeService import HogeService

__all__ = [
  HogeService,
]

6. 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

We are currently implementing new features and trying to scale it, but please be patient as 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

Copyright:

This program is licensed under the GNU GPL v3

Copyright Notice:

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/>.

Star History