modelmerge

中文

modelmerge is a powerful library designed to simplify and unify the use of various large language models, including GPT-4, GPT-3.5, Claude3, Claude2, Gemini1.5 Pro, DALL-E 3, and Groq. This library supports GPT-style function calls and comes with built-in Google search and URL summarization features, significantly enhancing the utility and flexibility of the models.

Features

• Multi-Model Support: Integrates a variety of the latest large language models.
• Real-Time Interaction: Supports real-time query streams for instantaneous model responses.
• Functionality Expansion: Easily extends model capabilities, such as conducting web searches or content summarization, through built-in function call support.
• Simplified Interface: Provides a clean API interface, making it easy to call and manage models.

Quick Start

Here is a guide on how to quickly integrate and use modelmerge in your Python project.

Installation

First, you need to install modelmerge. It can be installed directly via pip:

pip install modelmerge

Usage Example

Here is a simple example demonstrating how to use modelmerge to request the GPT-4 model and handle the returned streaming data:

from modelmerge.models import chatgpt

# Initialize the model, set API key and chosen model
bot = chatgpt(api_key="{YOUR_API_KEY}", engine="gpt-4-turbo-2024-04-09")

# Send a request and get responses in real time
for text in bot.ask_stream("python list use"):
    print(text, end="")

Configuration

You can adjust different model parameters, including API keys and model selection, by modifying the configuration file.

Supported Models

• GPT-4
• GPT-3.5
• Claude3
• Claude2
• Gemini1.5 Pro
• DALL-E 3
• Groq

License

This project is licensed under the MIT License.

Contributions

Contributions are welcome! Please submit issues or pull requests on GitHub to improve the project.

Contact

If you have any questions or need assistance, please contact us at Your Email.