simwai / huggingface-chat Goto Github PK

This project is a simple web application that allows users to load pre-trained models from Hugging Face's model hub and generate text based on a user-provided prompt. It's built using Streamlit and the transformers library.

• Load Hugging Face models dynamically by specifying the model name.
• Generate text using the loaded model with a custom prompt.
• Keep a history of loaded models for quick access.

Make sure you have Python 3.6 or later installed. You can then install the dependencies with pip:

1. python -m venv .venv

2. Windows: .venv\Scripts\activate
   Linux: source .venv/bin/activate

3. pip install -r requirements

To run the app, navigate to the directory containing index.py and run:

streamlit run index.py or python start.py

The Streamlit web interface should open in your default web browser, where you can interact with the model.

Contributions are welcome! If you have a suggestion or an issue, please open an issue on the repository to discuss it.

MIT © simwai