openspec/config.yaml

schema: spec-driven

# Project context
context: |
  Project: StockRecommender - AI-powered stock analysis tool
  Tech Stack: Python, Gradio (web UI), yfinance (market data), Transformers (FinBERT, BART)
  Deployment: Hugging Face Spaces or local
  Main Files: app_batch.py (advanced), app.py (simple), requirements.txt
  Architecture: StockAnalyzer class for data/analysis, Plotly for visualizations
  Conventions:
    - Error handling: wrap external API calls (yfinance, HF) in try-except
    - UI: Gradio components in Row/Column for layout
    - Fallback models: use lightweight alternatives if memory constraints
    - Runtime install: auto-install missing packages via install_package()
    - Always update requirements.txt when adding dependencies
  Key Patterns:
    - ProsusAI/finbert for sentiment, facebook/bart-large-cnn for summarization
    - Plotly for charts (Bar, Scatter, Radar, Pie)
    - Batch analysis via text input or StockList.xlsx