📚 Chat with PDFs using LangChain & ChatGPT 🤖

Effortlessly interact with your PDF files using LangChain and ChatGPT API! This app lets you upload PDFs, process them into searchable text, and ask detailed questions based on the document content.

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🚀 Features

• 📄 Upload Multiple PDFs: Process multiple PDF files at once.
• 🧠 AI-Powered Chat: Get answers from your PDFs using ChatGPT API.
• 🔍 Huggingface Model Support: Enhance chatbot accuracy with Huggingface models.
• 🗂️ FAISS Indexing: Efficient text chunking and embedding storage for rapid responses.
• 🔐 Secure Access: Uses environment variables to protect API keys.
• ⚡ Streamlit UI: Clean and simple web-based user interface.

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🛠️ Tech Stack

• Streamlit → User-friendly interface 🖥️
• PyPDF2 → Extracts text from PDFs 📄
• LangChain → Manages conversational flow & embeddings 🧩
• Google Generative AI (Gemini Pro) → AI-powered responses 🤖
• FAISS → Fast and efficient similarity search 🔍

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📂 Project Structure

📦 Chat-with-PDFs-Gemini
├── app.py                # Main Streamlit app
├── requirements.txt      # Dependencies
├── .env                 # API keys (ignored in GitHub)
├── htmlTemplates.py      # Custom UI templates
└── faiss_index/         # FAISS storage (generated at runtime)

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🚀 How to Run

1️⃣ Clone the Repository

git clone https://github.com/yourusername/Chat-with-PDFs-Gemini.git
cd Chat-with-PDFs-Gemini

2️⃣ Install Dependencies

pip install -r requirements.txt

3️⃣ Set Up API Key

Create a .env file and add your Google Gemini API key:

OPENAI_API_KEY=your_gemini_api_key

4️⃣ Run the App

streamlit run app.py

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📝 How It Works

1. Upload PDFs 📂 → Drag and drop multiple PDF files.
2. Process the Documents 🔄 → Extracts text and creates embeddings.
3. Ask AI Questions 💬 → Type your query and get instant AI responses!

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📸 Screenshots

🤖 AI Chat in Action

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📌 Tips for Best Results

• Ensure PDFs contain searchable text (scanned images won't work well).
• Questions outside the document's scope may result in vague answers.
• Use clear and specific queries for better accuracy.

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💡 Future Improvements

• ✅ Support for scanned PDFs using OCR 📸
• ✅ More AI models (GPT, Claude, etc.) 🔄
• ✅ Cloud-based FAISS storage for scalability ☁️

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🤝 Contributing

Feel free to fork this project, open issues, and submit pull requests! Contributions are always welcome. 🌟

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📜 License

This project is MIT Licensed. Free to use & modify. 🎉

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Give this project a ⭐ if you found it useful! 🚀