amoghsuman/SportsQA
0
⚽ SportsQA – Ask Questions About Sports Rules!
This is an AI-powered semantic search app built with LangChain, FAISS, and Streamlit, allowing users to ask natural language questions about sports rulebooks (e.g., FIFA, BCCI).
🚀 Features:
- Embed PDF rulebooks with
sentence-transformers - Perform fast semantic search with
faiss-cpu - Intuitive Q&A interface built with Streamlit
📂 Project Structure: ui/SportsQA.py # Main Streamlit app data/ # Raw PDFs and embeddings src/ # Supporting scripts and logic requirements.txt # All dependencies (FAISS supported) Dockerfile # Deployment container config
🛠️ Powered by:
- LangChain
- Sentence Transformers
- FAISS (faiss-cpu)
- Streamlit
📌 To learn more about configuring your Hugging Face Space, visit: https://huggingface.co/docs/hub/spaces-config-reference
