visionavtr/gpt4free @ 139f68af4f331943d441cad9f0ab7b020ef90cd8

Written by @xtekky & maintained by @hlohaus

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, re-uploads made by other users, or anything else related to GPT4Free. This is the author's only account and repository. To prevent impersonation or irresponsible actions, please comply with the GNU GPL license this Repository uses.

[!Note] ^{Lastet version:}
pip install -U g4f
docker pull hlohaus789/g4f

🆕 What's New

Join our Telegram Channel: t.me/g4f_channel
Join our Discord Group: discord.gg/XfybzPXPH5
Explore the g4f Documentation (unfinished): g4f.mintlify.app | Contribute to the docs via: github.com/xtekky/gpt4free-docs

📚 Table of Contents

🆕 What's New
📚 Table of Contents
🛠️ Getting Started
💡 Usage
🚀 Providers and Models
- GPT-4
- GPT-3.5
- Other
- Models
🔗 Related GPT4Free Projects
🤝 Contribute
- Create Provider with AI Tool
- Create Provider
🙌 Contributors
©️ Copyright
⭐ Star History
📄 License

🛠️ Getting Started

Docker container

Quick start:

Download and install Docker
Pull lastet image and run the container:

docker pull hlohaus789/g4f
docker run -p 8080:8080 -p 1337:1337 -p 7900:7900 --shm-size="2g" hlohaus789/g4f:latest

Open the included client on: http://localhost:8080/chat/ or set the api base in your client to: http://localhost:1337/v1
(Optional) If you need to log in to a provider, you can view the desktop from the container here: http://localhost:7900/?autoconnect=1&resize=scale&password=secret.

Use python package

Prerequisites:

Download and install Python (Version 3.10+ is recommended).
Install Google Chrome for providers with webdriver

Install using pypi:

pip install -U g4f

or:

Clone the GitHub repository:

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

Navigate to the project directory:

cd gpt4free

(Recommended) Create a Python virtual environment: You can follow the Python official documentation for virtual environments.

python3 -m venv venv

Activate the virtual environment:
- On Windows: .\venv\Scripts\activate
- On macOS and Linux: source venv/bin/activate
Install the required Python packages from requirements.txt:

pip install -r requirements.txt

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

import g4f
...

Docker for Developers

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

First, ensure you have both Docker and Docker Compose installed.
- Install Docker
- Install Docker Compose
Clone the GitHub repo:

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

Navigate to the project directory:

cd gpt4free

Build the Docker image:

docker pull selenium/node-chrome
docker-compose build

Start the service using Docker Compose:

docker-compose up

Your 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

ChatCompletion

import g4f

g4f.debug.logging = True  # Enable debug logging
g4f.debug.check_version = False  # Disable automatic version checking
print(g4f.Provider.Bing.params)  # Print supported args for Bing

# Using automatic a provider for the given model
## Streamed completion
response = g4f.ChatCompletion.create(
    model="gpt-3.5-turbo",
    messages=[{"role": "user", "content": "Hello"}],
    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": "Hello"}],
)  # Alternative model setting

print(response)

Completion

import g4f

allowed_models = [
    'code-davinci-002',
    'text-ada-001',
    'text-babbage-001',
    'text-curie-001',
    'text-davinci-002',
    'text-davinci-003'
]

response = g4f.Completion.create(
    model='text-davinci-003',
    prompt='say this is a test'
)

print(response)

Providers

import g4f

# Print all available providers
print([
    provider.__name__
    for provider in g4f.Provider.__providers__
    if provider.working
])

# Execute with a specific provider
response = g4f.ChatCompletion.create(
    model="gpt-3.5-turbo",
    provider=g4f.Provider.Aichat,
    messages=[{"role": "user", "content": "Hello"}],
    stream=True,
)
for message in response:
    print(message)

Using Browser

Some providers using a browser to bypass the bot protection. They using the selenium webdriver to control the browser. The browser settings and the login data are saved in a custom directory. If the headless mode is enabled, the browser windows are loaded invisibly. For performance reasons, it is recommended to reuse the browser instances and close them yourself at the end:

import g4f
from undetected_chromedriver import Chrome, ChromeOptions
from g4f.Provider import (
    Bard,
    Poe,
    AItianhuSpace,
    MyShell,
    PerplexityAi,
)

options = ChromeOptions()
options.add_argument("--incognito");
webdriver = Chrome(options=options, headless=True)
for idx in range(10):
    response = g4f.ChatCompletion.create(
        model=g4f.models.default,
        provider=g4f.Provider.MyShell,
        messages=[{"role": "user", "content": "Suggest me a name."}],
        webdriver=webdriver
    )
    print(f"{idx}:", response)
webdriver.quit()

Async Support

To enhance speed and overall performance, execute providers asynchronously. The total execution time will be determined by the duration of the slowest provider's execution.

import g4f
import asyncio

_providers = [
    g4f.Provider.Aichat,
    g4f.Provider.ChatBase,
    g4f.Provider.Bing,
    g4f.Provider.GptGo,
    g4f.Provider.You,
    g4f.Provider.Yqcloud,
]

async def run_provider(provider: g4f.Provider.BaseProvider):
    try:
        response = await g4f.ChatCompletion.create_async(
            model=g4f.models.default,
            messages=[{"role": "user", "content": "Hello"}],
            provider=provider,
        )
        print(f"{provider.__name__}:", response)
    except Exception as e:
        print(f"{provider.__name__}:", e)
        
async def run_all():
    calls = [
        run_provider(provider) for provider in _providers
    ]
    await asyncio.gather(*calls)

asyncio.run(run_all())

Proxy and Timeout Support

All providers support specifying a proxy and increasing timeout in the create functions.

import g4f

response = g4f.ChatCompletion.create(
    model=g4f.models.default,
    messages=[{"role": "user", "content": "Hello"}],
    proxy="http://host:port",
    # or socks5://user:pass@host:port
    timeout=120,  # in secs
)

print(f"Result:", response)

You can also set a proxy globally via an environment variable:

export G4F_PROXY="http://host:port"

Interference openai-proxy API (Use with openai python package)

Run interference API from PyPi package

from g4f.api import run_api

run_api()

Run interference API from repo

If you want to use the embedding function, you need to get a Hugging Face token. You can get one at Hugging Face Tokens. Make sure your role is set to write. If you have your token, just use it instead of the OpenAI api-key.

Run server:

g4f api

python -m g4f.api.run

import openai

# Set your Hugging Face token as the API key if you use embeddings
# If you don't use embeddings, leave it empty
openai.api_key = "YOUR_HUGGING_FACE_TOKEN"  # Replace with your actual token

# Set the API base URL if needed, e.g., for a local development environment
openai.api_base = "http://localhost:1337/v1"

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

if __name__ == "__main__":
    main()

🚀 Providers and Models

GPT-4

Website	Provider	GPT-3.5	GPT-4	Stream	Auth
bing.com	`g4f.Provider.Bing`	❌	✔️	✔️	❌
chat.geekgpt.org	`g4f.Provider.GeekGpt`	✔️	✔️	✔️	❌
gptchatly.com	`g4f.Provider.GptChatly`	✔️	✔️	❌	❌
liaobots.site	`g4f.Provider.Liaobots`	✔️	✔️	✔️	❌
www.phind.com	`g4f.Provider.Phind`	❌	✔️	✔️	❌
raycast.com	`g4f.Provider.Raycast`	✔️	✔️	✔️	✔️

GPT-3.5

Website	Provider	GPT-3.5	GPT-4	Stream	Auth
www.aitianhu.com	`g4f.Provider.AItianhu`	✔️	❌	✔️	❌
chat3.aiyunos.top	`g4f.Provider.AItianhuSpace`	✔️	❌	✔️	❌
e.aiask.me	`g4f.Provider.AiAsk`	✔️	❌	✔️	❌
chat-gpt.org	`g4f.Provider.Aichat`	✔️	❌	❌	❌
www.chatbase.co	`g4f.Provider.ChatBase`	✔️	❌	✔️	❌
chatforai.store	`g4f.Provider.ChatForAi`	✔️	❌	✔️	❌
chatgpt.ai	`g4f.Provider.ChatgptAi`	✔️	❌	✔️	❌
chatgptx.de	`g4f.Provider.ChatgptX`	✔️	❌	✔️	❌
chat-shared2.zhile.io	`g4f.Provider.FakeGpt`	✔️	❌	✔️	❌
freegpts1.aifree.site	`g4f.Provider.FreeGpt`	✔️	❌	✔️	❌
gptalk.net	`g4f.Provider.GPTalk`	✔️	❌	✔️	❌
ai18.gptforlove.com	`g4f.Provider.GptForLove`	✔️	❌	✔️	❌
gptgo.ai	`g4f.Provider.GptGo`	✔️	❌	✔️	❌
hashnode.com	`g4f.Provider.Hashnode`	✔️	❌	✔️	❌
app.myshell.ai	`g4f.Provider.MyShell`	✔️	❌	✔️	❌
noowai.com	`g4f.Provider.NoowAi`	✔️	❌	✔️	❌
chat.openai.com	`g4f.Provider.OpenaiChat`	✔️	❌	✔️	✔️
theb.ai	`g4f.Provider.Theb`	✔️	❌	✔️	✔️
sdk.vercel.ai	`g4f.Provider.Vercel`	✔️	❌	✔️	❌
you.com	`g4f.Provider.You`	✔️	❌	✔️	❌
chat9.yqcloud.top	`g4f.Provider.Yqcloud`	✔️	❌	✔️	❌
chat.acytoo.com	`g4f.Provider.Acytoo`	✔️	❌	✔️	❌
aibn.cc	`g4f.Provider.Aibn`	✔️	❌	✔️	❌
ai.ls	`g4f.Provider.Ails`	✔️	❌	✔️	❌
chatgpt4online.org	`g4f.Provider.Chatgpt4Online`	✔️	❌	✔️	❌
chat.chatgptdemo.net	`g4f.Provider.ChatgptDemo`	✔️	❌	✔️	❌
chatgptduo.com	`g4f.Provider.ChatgptDuo`	✔️	❌	❌	❌
chatgptfree.ai	`g4f.Provider.ChatgptFree`	✔️	❌	❌	❌
chatgptlogin.ai	`g4f.Provider.ChatgptLogin`	✔️	❌	✔️	❌
cromicle.top	`g4f.Provider.Cromicle`	✔️	❌	✔️	❌
gptgod.site	`g4f.Provider.GptGod`	✔️	❌	✔️	❌
opchatgpts.net	`g4f.Provider.Opchatgpts`	✔️	❌	✔️	❌
chat.ylokh.xyz	`g4f.Provider.Ylokh`	✔️	❌	✔️	❌

Other

Website	Provider	GPT-3.5	GPT-4	Stream	Auth
bard.google.com	`g4f.Provider.Bard`	❌	❌	❌	✔️
deepinfra.com	`g4f.Provider.DeepInfra`	❌	❌	✔️	❌
huggingface.co	`g4f.Provider.HuggingChat`	❌	❌	✔️	✔️
www.llama2.ai	`g4f.Provider.Llama2`	❌	❌	✔️	❌
open-assistant.io	`g4f.Provider.OpenAssistant`	❌	❌	✔️	✔️

Models

Model	Base Provider	Provider	Website
palm	Google	g4f.Provider.Bard	bard.google.com
h2ogpt-gm-oasst1-en-2048-falcon-7b-v3	Hugging Face	g4f.Provider.H2o	www.h2o.ai
h2ogpt-gm-oasst1-en-2048-falcon-40b-v1	Hugging Face	g4f.Provider.H2o	www.h2o.ai
h2ogpt-gm-oasst1-en-2048-open-llama-13b	Hugging Face	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	Hugging Face	g4f.Provider.Vercel	sdk.vercel.ai
oasst-sft-1-pythia-12b	Hugging Face	g4f.Provider.Vercel	sdk.vercel.ai
oasst-sft-4-pythia-12b-epoch-3.5	Hugging Face	g4f.Provider.Vercel	sdk.vercel.ai
santacoder	Hugging Face	g4f.Provider.Vercel	sdk.vercel.ai
bloom	Hugging Face	g4f.Provider.Vercel	sdk.vercel.ai
flan-t5-xxl	Hugging Face	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
Free AI API's & Potential Providers List
ChatGPT-Clone
ChatGpt Discord Bot
Nyx-Bot (Discord)
LangChain gpt4free
ChatGpt Telegram Bot
ChatGpt Line Bot
Action Translate Readme
Langchain Document GPT

🤝 Contribute

Create Provider with AI Tool

Call in your terminal the create_provider.py script:

python etc/tool/create_provider.py

Enter your name for the new provider.
Copy and paste the cURL command from your browser developer tools.
Let the AI create the provider for you.
Customize the provider according to your needs.

Create Provider

Check out the current list of potential providers, or find your own provider source!
Create a new file in g4f/Provider with the name of the Provider
Implement a class that extends BaseProvider.

from __future__ import annotations

from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider

class HogeService(AsyncGeneratorProvider):
    url                   = "https://chat-gpt.com"
    working               = True
    supports_gpt_35_turbo = True

    @classmethod
    async def create_async_generator(
        cls,
        model: str,
        messages: Messages,
        proxy: str = None,
        **kwargs
    ) -> AsyncResult:
        yield ""

Here, you can adjust the settings, for example, if the website does support streaming, set supports_stream to True...
Write code to request the provider in create_async_generator and yield the response, even if it's a one-time response, do not hesitate to look at other providers for inspiration
Add the Provider Name in g4f/Provider/__init__.py

from .HogeService import HogeService

__all__ = [
  HogeService,
]

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='')

🙌 Contributors

A list of the contributors is available here
The Vercel.py file contains code from vercel-llm-api by @ading2210, which is licensed under the GNU GPL v3
Top 1 Contributor: @hlohaus

©️ Copyright

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/>.

⭐ Star History

    <img width="500" alt="Star History Chart" src="https://api.star-history.com/svg?repos=xtekky/gpt4free&type=Date">

📄 License

This project is licensed under GNU_GPL_v3.0.

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