README.md

Dash + Hugging Face Demo

This is a demo application showcasing how to use Dash with Hugging Face models deployed on Hugging Face Spaces using Docker.

Features

• Sentiment Analysis: Analyze the sentiment of text using a pre-trained model
• Text Generation: Generate text based on prompts using GPT-2
• Interactive Visualizations: View sentiment analysis results with Plotly charts
• Responsive Design: Bootstrap-based UI that works on all devices

Models Used

• Sentiment Analysis: cardiffnlp/twitter-roberta-base-sentiment-latest
• Text Generation: gpt2

Local Development

1. Clone this repository
2. Install dependencies: pip install -r requirements.txt
3. Run the app: python app.py
4. Open your browser to http://localhost:7860

Deployment on Hugging Face Spaces

This app is configured to run on Hugging Face Spaces using Docker:

1. The Dockerfile sets up the Python environment
2. Port 7860 is exposed (required by HF Spaces)
3. Models are loaded automatically when the container starts

File Structure

├── app.py              # Main Dash application
├── requirements.txt    # Python dependencies
├── Dockerfile         # Docker configuration
└── README.md          # This file

Configuration

The app automatically detects when running on Hugging Face Spaces and configures itself accordingly. No additional setup is required.