README.md

metadata

title: PDF Q&A Tutor (Groq Powered)
emoji: 📘
colorFrom: indigo
colorTo: blue
sdk: gradio
sdk_version: 5.44.1
app_file: app.py
pinned: false

📘 PDF Q&A Tutor

Upload a PDF research paper and ask questions about it!
This Space uses:

• SentenceTransformers for embeddings
• FAISS for vector search
• Groq API for fast, low-latency LLM inference (e.g. qwen/qwen3-32b or llama3-70b)

🔑 Setup

1. Go to your Space’s Settings → Repository secrets.
2. Add your Groq API key as: GROQ_API_KEY = your_api_key_here

🚀 Usage

1. Upload a PDF paper.
2. Ask questions in the chatbox.
3. The system retrieves relevant chunks from the PDF and asks Groq’s LLM to explain in simple terms.

🧩 Models

• Embeddings: intfloat/e5-base-v2
• Vector DB: FAISS
• LLM (via Groq API): qwen/qwen3-32b (default, can be swapped for llama3-70b)

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