Written by @xtekky
Important
By using this repository or any code related to it, you agree to the legal notice. The author is not responsible for the usage of this repository nor endorses it, nor is the author 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.
Warning
"gpt4free" serves as a PoC (proof of concept), demonstrating the development of an API package with multi-provider requests, with features like timeouts, load balance and flow control.
Note
Latest version: 
Stats: 
pip install -U g4f[all]docker pull hlohaus789/g4f- For comprehensive details on new features and updates, please refer to our Releases page
- Installation Guide for Windows (.exe): 💻 Installation Guide for Windows (.exe)
- Join our Telegram Channel: 📨 telegram.me/g4f_channel
- Join our Discord Group: 💬🆕️ discord.gg/vE7gCvss
Is your site on this repository and you want to take it down? Send an email to [email protected] with proof it is yours and it will be removed as fast as possible. To prevent reproduction please secure your API. 😉
Take a look at our GUI on the mobile device. We connect to ChatGPT and generate an image.
g4f.-.preview.mp4
- 🆕 What's New
- 📚 Table of Contents
- 🛠️ Getting Started
- Use python
- Install using Docker
- 💡 Usage
- 🚀 Providers and Models
- 🔗 Powered by gpt4free
- 🤝 Contribute
- 🙌 Contributors
- ©️ Copyright
- ⭐ Star History
- 📄 License
-
Install Docker: Begin by downloading and installing Docker.
-
Set Up the Container: Use the following commands to pull the latest image and start the container:
docker pull hlohaus789/g4f
docker run \
-p 8080:8080 -p 1337:1337 -p 7900:7900 \
--shm-size="2g" \
-v ${PWD}/har_and_cookies:/app/har_and_cookies \
-v ${PWD}/generated_images:/app/generated_images \
hlohaus789/g4f:latestTo run the slim docker image. Use this command:
docker run \
-p 1337:1337 \
-v ${PWD}/har_and_cookies:/app/har_and_cookies \
-v ${PWD}/generated_images:/app/generated_images \
hlohaus789/g4f:latest-slim \
rm -r -f /app/g4f/ \
&& pip install -U g4f[slim] \
&& python -m g4f.cli api --gui --debugIt also updates the g4f package at startup and installs any new required dependencies.
-
Access the Client:
- To use the included client, navigate to: http://localhost:8080/chat/ or http://localhost:1337/chat/
- Or set the API base for your client to: http://localhost:1337/v1
-
(Optional) Provider Login: If required, you can access the container's desktop here: http://localhost:7900/?autoconnect=1&resize=scale&password=secret for provider login purposes.
To ensure the seamless operation of our application, please follow the instructions below. These steps are designed to guide you through the installation process on Windows operating systems.
- Download the Application: Visit our releases page and download the most recent version of the application, named
g4f.exe.zip. - File Placement: After downloading, locate the
.zipfile in your Downloads folder. Unpack it to a directory of your choice on your system, then execute theg4f.exefile to run the app. - Open GUI: The app starts a web server with the GUI. Open your favorite browser and navigate to
http://localhost:8080/chat/to access the application interface. - Firewall Configuration (Hotfix): Upon installation, it may be necessary to adjust your Windows Firewall settings to allow the application to operate correctly. To do this, access your Windows Firewall settings and allow the application.
By following these steps, you should be able to successfully install and run the application on your Windows system. If you encounter any issues during the installation process, please refer to our Issue Tracker or try to get contact over Discord for assistance.
Run the Webview UI on other Platforms:
Run the Web UI on Your Smartphone:
- Download and install Python (Version 3.10+ is recommended).
- Install Google Chrome for providers with webdriver
pip install -U g4f[all]
How do I install only parts or do disable parts? Use partial requirements: /docs/requirements
How do I load the project using git and installing the project requirements? Read this tutorial and follow it step by step: /docs/git
How do I build and run composer image from source? Use docker-compose: /docs/docker
from g4f.client import Client
client = Client()
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": "Hello"}],
# Add any other necessary parameters
)
print(response.choices[0].message.content)Hello! How can I assist you today?
from g4f.client import Client
client = Client()
response = client.images.generate(
model="flux",
prompt="a white siamese cat",
# Add any other necessary parameters
)
image_url = response.data[0].url
print(f"Generated image URL: {image_url}")
-
New:
- Client API from G4F: /docs/client
- AsyncClient API from G4F: /docs/async_client
-
Legacy:
- Legacy API with python modules: /docs/legacy
To start the web interface, type the following codes in python:
from g4f.gui import run_gui
run_gui()or execute the following command:
python -m g4f.cli gui -port 8080 -debugYou can use the Interference API to serve other OpenAI integrations with G4F. See docs: /docs/interference Access with: http://localhost:1337/v1
Cookies are essential for using Meta AI and Microsoft Designer to create images. Additionally, cookies are required for the Google Gemini and WhiteRabbitNeo Provider. From Bing, ensure you have the "_U" cookie, and from Google, all cookies starting with "__Secure-1PSID" are needed.
You can pass these cookies directly to the create function or set them using the set_cookies method before running G4F:
from g4f.cookies import set_cookies
set_cookies(".bing.com", {
"_U": "cookie value"
})
set_cookies(".google.com", {
"__Secure-1PSID": "cookie value"
})You can place .har and cookie files in the default ./har_and_cookies directory. To export a cookie file, use the EditThisCookie Extension available on the Chrome Web Store.
To capture cookies, you can also create .har files. For more details, refer to the next section.
You can change the cookies directory and load cookie files in your Python environment. To set the cookies directory relative to your Python file, use the following code:
import os.path
from g4f.cookies import set_cookies_dir, read_cookie_files
import g4f.debug
g4f.debug.logging = True
cookies_dir = os.path.join(os.path.dirname(__file__), "har_and_cookies")
set_cookies_dir(cookies_dir)
read_cookie_files(cookies_dir)If you enable debug mode, you will see logs similar to the following:
Read .har file: ./har_and_cookies/you.com.har
Cookies added: 10 from .you.com
Read cookie file: ./har_and_cookies/google.json
Cookies added: 16 from .google.com
To utilize the OpenaiChat provider, a .har file is required from https://chatgpt.com/. Follow the steps below to create a valid .har file:
- Navigate to https://chatgpt.com/ using your preferred web browser and log in with your credentials.
- Access the Developer Tools in your browser. This can typically be done by right-clicking the page and selecting "Inspect," or by pressing F12 or Ctrl+Shift+I (Cmd+Option+I on a Mac).
- With the Developer Tools open, switch to the "Network" tab.
- Reload the website to capture the loading process within the Network tab.
- Initiate an action in the chat which can be captured in the .har file.
- Right-click any of the network activities listed and select "Save all as HAR with content" to export the .har file.
- Place the exported .har file in the
./har_and_cookiesdirectory if you are using Docker. Alternatively, if you are using Python from a terminal, you can store it in a./har_and_cookiesdirectory within your current working directory.
Note: Ensure that your .har file is stored securely, as it may contain sensitive information.
If you want to hide or change your IP address for the providers, you can set a proxy globally via an environment variable:
- On macOS and Linux:
export G4F_PROXY="http://host:port"- On Windows:
set G4F_PROXY=http://host:port
We welcome contributions from the community. Whether you're adding new providers or features, or simply fixing typos and making small improvements, your input is valued. Creating a pull request is all it takes – our co-pilot will handle the code review process. Once all changes have been addressed, we'll merge the pull request into the main branch and release the updates at a later time.
- Read: Create Provider Guide
- Read: AI Assistance Guide
A list of all contributors is available here
- The
Vercel.pyfile contains code from vercel-llm-api by @ading2210 - The
har_file.pyhas input from xqdoo00o/ChatGPT-to-API - The
PerplexityLabs.pyhas input from nathanrchn/perplexityai - The
Gemini.pyhas input from dsdanielpark/Gemini-API - The
MetaAI.pyfile contains code from meta-ai-api by @Strvm - The
proofofwork.pyhas input from missuo/FreeGPT35
Having input implies that the AI's code generation utilized it as one of many sources.
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/>.
|
|
 This project is licensed under GNU_GPL_v3.0. |
