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It features a clean **Streamlit web UI** for uploading PDFs and running specialized AI agents directly from your browser.\n\n---\n\n## ✨ Features\n\n| Feature | Description |\n|---|---|\n| 📂 **PDF Upload** | Upload PDFs via the sidebar; files are saved to `data/` automatically |\n| 📄 **Document List** | Sidebar shows all currently loaded PDFs |\n| 📝 **Summarize** | Summarizes the entire document — no topic required |\n| 💡 **Insights / Q&A** | Answers a specific question on a given topic |\n| 📋 **Generate MCQs** | Creates 5 MCQs with options, correct answers, and explanations |\n| ⬇️ **Download Results** | Export any result as a `.txt` file |\n\n---\n\n## 🗂️ Project Structure\n\n```\npoc_pdfcheck/\n├── app.py               # Streamlit UI (main entry point)\n├── main.py              # Original CLI entry point\n├── requirements.txt     # Python dependencies\n├── .env.example         # Environment variable template\n├── data/                # Place PDF/CSV files here (auto-created)\n└── src/\n    ├── config.py        # LLM & embedding model configuration (Ollama)\n    ├── rag_pipeline.py  # Document ingestion, chunking, FAISS vector store\n    ├── tools.py         # LangChain tool wrapping the RAG retriever\n    └── agents.py        # CrewAI agents (Summarizer, QA, MCQ Generator)\n```\n\n---\n\n## 🚀 Setup & Running\n\n### 1. Create a Virtual Environment\n\n```bash\npython -m venv venv\n# Windows\nvenv\\Scripts\\activate\n# macOS / Linux\nsource venv/bin/activate\n```\n\n### 2. Install Dependencies\n\n```bash\npip install -r requirements.txt\n```\n\n### 3. Setup Ollama (Local LLM)\n\nThis project runs **entirely locally** — no API keys required.\n\n1. Install [Ollama](https://ollama.com/) for your OS.\n2. Start the Ollama server.\n3. Pull the required models:\n   ```bash\n   ollama pull llama3\n   ollama pull nomic-embed-text\n   ```\n\n### 4. Run the Streamlit UI\n\n```bash\nstreamlit run app.py\n```\n\nThe app will open at **http://localhost:8501**.\n\n> **Alternative (CLI):** `python main.py`\n\n---\n\n## 🖥️ Using the UI\n\n1. **Upload a PDF** using the sidebar upload button.\n2. The PDF will appear in the **Uploaded Documents** list.\n3. Click **📝 Summarize** — summarizes the entire document (no topic needed).\n4. 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