test: Initial minimal test setup

README.md

@@ -1,152 +1,12 @@
 ---
-title: SongLift LyrGen2
+title: Test App
 emoji: 🎵
-colorFrom: indigo
-colorTo: purple
 sdk: streamlit
 sdk_version: 1.25.0
 app_file: app.py
 pinned: false
 ---
 
-# SongLift LyrGen2
+# Test Streamlit App
 
-An AI-powered lyric generator using LangChain and RAG (Retrieval-Augmented Generation) technology. This application leverages OpenAI's models and a database of existing lyrics to generate new, contextually-aware song lyrics with modern pop and hip-hop sensibilities.
-
-## Features
-
-- **RAG-based Lyric Generation**: Uses a vector database of existing lyrics to inform new lyric creation
-- **Interactive Chat Interface**: Streamlit-based UI for real-time lyric generation
-- **Source Attribution**: Shows reference songs that influenced the generated lyrics with similarity scores
-- **Persistent Vector Storage**: Saves embeddings for faster subsequent runs using ChromaDB
-- **Intelligent Chunking**: Optimized text splitting (300 chars, 75 overlap) for lyrical content
-- **Rate Limit Handling**: Built-in retry logic for API rate limits with exponential backoff
-- **Smart Text Processing**: 
-  - Automatic encoding detection
-  - Cleanup of common lyric file artifacts
-  - Batch processing for large datasets
-- **Modern Lyric Style**: Specialized prompting for contemporary pop and hip-hop structures
-
-## Development Environments
-
-### Local Development
-1. Clone the repository:
-   ```bash
-   git clone [repository-url]
-   cd SongLift_LyrGen2
-   ```
-
-2. Create and activate virtual environment:
-   ```bash
-   python -m venv .venv
-   source .venv/bin/activate  # On Windows: .venv\Scripts\activate
-   ```
-
-3. Install dependencies:
-   ```bash
-   pip install -r requirements.txt
-   ```
-
-4. Set up environment variables:
-   ```bash
-   cp .env.example .env
-   # Add your OpenAI API key to .env
-   # Set DEPLOYMENT_MODE=local in .env
-   ```
-
-5. Start the application:
-   ```bash
-   streamlit run app.py
-   ```
-
-### HuggingFace Space Deployment
-1. Set up HF Space environment variables:
-   - `DEPLOYMENT_MODE=huggingface`
-   - `OPENAI_API_KEY=your-api-key`
-
-2. Configure HF Dataset:
-   - Dataset name: `SongLift/LyrGen2_DB`
-   - Structure:
-     ```
-     /chroma/  # ChromaDB files directly in root
-     ```
-
-3. Update Space settings:
-   - SDK: streamlit
-   - Python version: 3.11
-   - Requirements: requirements.txt
-
-## Project Structure
-```
-songlift_lyrgen/
-├── .streamlit/
-│   └── config.toml      # Streamlit configuration
-├── app.py              # Main Streamlit application
-├── src/
-│   └── generator/
-│       └── generator.py # Core lyric generation logic
-├── config/
-│   └── settings.py     # Environment-aware configuration
-├── data/               # Local development data
-│   ├── raw/
-│   │   └── lyrics/     # Source lyrics files
-│   └── processed/
-│       └── embeddings/ # Local embeddings storage
-└── requirements.txt    # Python dependencies
-```
-
-## Configuration
-
-### Environment Variables
-- `DEPLOYMENT_MODE`: Set to 'local' or 'huggingface'
-- `OPENAI_API_KEY`: Your OpenAI API key
-
-### Vector Store Settings
-- Local path: `data/processed/embeddings`
-- HF Space path: `/data/chroma`
-- Collection name: "lyrics"
-
-### Model Parameters
-- Temperature: 0.9 (creative generation)
-- Top-p: 0.95 (diverse vocabulary)
-- Presence Penalty: 0.0
-- Frequency Penalty: 0.1
-
-## Development Workflow
-
-1. Create feature branch:
-   ```bash
-   git checkout -b feature/your-feature-name
-   ```
-
-2. Make changes and test locally:
-   ```bash
-   streamlit run app.py
-   ```
-
-3. Commit and push changes:
-   ```bash
-   git add .
-   git commit -m "feat: your feature description"
-   git push origin feature/your-feature-name
-   ```
-
-4. Deploy to HF Space:
-   - Push to main branch
-   - Space will auto-deploy
-
-## Troubleshooting
-
-### Local Development
-- Check `.env` file has `DEPLOYMENT_MODE=local`
-- Verify embeddings in `data/processed/embeddings`
-- Run with `--debug` flag: `streamlit run app.py --debug`
-
-### HF Space
-- Verify `DEPLOYMENT_MODE=huggingface` in Space variables
-- Check dataset structure in `SongLift/LyrGen2_DB`
-- Review Space logs for path resolution
-
-## License
-
-[Your License Here]
+A minimal test app to verify Streamlit functionality.

app.py

@@ -1,5 +1,4 @@
 """Main Streamlit application for lyric generation."""
 import streamlit as st
 
-st.title("Test App")
-st.write("Hello, World!") 
+st.write("Hello World!") 

requirements.txt

@@ -1,13 +1 @@
-langchain>=0.1.0
-langchain-openai>=0.0.2
-langchain-community>=0.0.16
-langchain-chroma>=0.0.5
-chromadb>=0.4.22
-streamlit==1.32.0
-python-dotenv==1.0.1
-huggingface-hub>=0.19.4
-pytest>=7.4.0
-black>=23.0.0
-flake8>=6.0.0
-numpy>=1.24.0
-chardet>=5.0.0
+streamlit==1.25.0