Large Language Model Hub

Description

My goal for this project is to create a universal interface for interacting with LLMs by leveraging LangChain. Ultimately, I want to create a modular structure where I can build APIs to integrate LLMs into other applications.

The Streamlit application allows you to interact with different LLMs. Currently, the project supports Anthropic and OpenAI models.

Installation

I am using poetry to manage python dependencies. Ensure that you have Python v3.11.9 or newer on your machine.

Install the poetry package manager:

pip install poetry

Then install the required packages:

poetry install

Add your own API keys and python path to a .env file. See .env.example for reference.

Add the path to this python project in the PYTHONPATH variable in .env

To activate the virtual environment, run the following command:

poetry shell

If you wish to run the Streamlit application, run the following command:

streamlit run llm_app/frontend/app.py

Current Structure

Models

I have used inheritance to create a LLM model in llm_app/backend/llms. I'm using the BaseLLM to create new LLM classes as desired. I have created a chat manger at llm_app/backend/chat, as well as a memory and database mangers, both of which are still in development.

License

This project is licensed under the MIT License.

Contributing

Please feel free to submit a Pull Request! I welcome any contributions.