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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.
- Getting Started
- Usage
- Models
- Related gpt4free projects
- Contribute
- ChatGPT clone
- Copyright
- Copyright Notice
- Star History
- Download and install Python (Version 3.x is recommended).
- Clone the GitHub repository:
git clone https://github.com/xtekky/gpt4free.git
- Navigate to the project directory:
cd gpt4free
- (Recommended) Create a virtual environment to manage Python packages for your project:
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
...
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)
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)
Website | Provider | gpt-3.5 | gpt-4 | Streaming | Status | Auth |
---|---|---|---|---|---|---|
bing.com | g4f.Provider.Bing |
✔️ | ✔️ | ✔️ | ❌ | |
super.lockchat.app | g4f.Provider.Lockchat |
✔️ | ✔️ | ✔️ | ❌ | |
liaobots.com | g4f.Provider.Liaobots |
✔️ | ✔️ | ✔️ | ✔️ | |
ai.ls | g4f.Provider.Ails |
✔️ | ❌ | ✔️ | ❌ | |
you.com | g4f.Provider.You |
✔️ | ❌ | ✔️ | ❌ | |
chat9.yqcloud.top | g4f.Provider.Yqcloud |
✔️ | ❌ | ✔️ | ❌ | |
theb.ai | g4f.Provider.Theb |
✔️ | ❌ | ✔️ | ❌ | |
play.vercel.ai | g4f.Provider.Vercel |
✔️ | ❌ | ✔️ | ❌ | |
forefront.com | g4f.Provider.Forefront |
✔️ | ❌ | ✔️ | ❌ | |
deepai.org | g4f.Provider.DeepAi |
✔️ | ❌ | ✔️ | ❌ | |
chat.getgpt.world | g4f.Provider.GetGpt |
✔️ | ❌ | ✔️ | ❌ | |
chatgptlogin.ac | g4f.Provider.ChatgptLogin |
✔️ | ❌ | ❌ | ❌ | |
chat-gpt.org | g4f.Provider.Aichat |
✔️ | ❌ | ❌ | ❌ |
Model | Base Provider | Provider | Website |
---|---|---|---|
palm2 | 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 | ||||
gpt4free-ts | ||||
ChatGPT-Clone | ||||
ChatGpt Discord Bot |
to add another provider, its very simple:
- create a new file in g4f/Provider/Providers with the name of the Provider
- 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]])
- Here, you can adjust the settings, for example if the website does support streaming, set
supports_stream
toTrue
... - Write code to request the provider in
_create_completion
andyield
the response, even if its a one-time response, do not hesitate to look at other providers for inspiration - Add the Provider Name in g4f/Provider/init.py
from . import Provider
from .Providers import (
...,
ProviderNameHere
)
- 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='')
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/>.