🤖 AI Assistant

It is an AI-powered document chatbot built using LangChain, Gemini, and Streamlit. It allows users to upload documents and ask questions, get summaries, and even book appointments via a simple chat interface.

🎥 YouTube Demo: Watch here

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🚀 Features

• Upload documents (PDF, TXT, DOCX)
• Ask questions from your document
• Get summaries with one prompt
• Book appointments via chat
• Persistent chat memory
• Fast and lightweight

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🛠 Tech Stack

• Frontend: Streamlit
• LLM: Google Gemini (via LangChain)
• Vector Store: FAISS
• Document Parser: Unstructured, PyMuPDF, python-docx
• Memory: ConversationBufferMemory

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📁 Folder Structure

chatbot/
├── app.py                  # Streamlit app               
├── .env                    # Gemini API key
├── requirements.txt
├── chatbot/
│   ├── document_loader.py
        agent.py
│   ├── vector_store.py
│   ├── qa_chain.py
│   ├── form_handler.py

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⚙️ Setup Instructions

1. Clone the Repo

git clone https://github.com/AdarshaRimal/llm-chatbot-with-doc-qna.git
cd llm-chatbot-with-dic-qna

2. Install Dependencies

pip install -r requirements.txt

3. Add API Key

Create a .env file in the root folder:

GOOGLE_API_KEY=your_gemini_api_key_here

Get your key from: https://makersuite.google.com/app

4. Run the App

streamlit run app.py

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💡 How to Use

• Upload your document from the sidebar
• Ask:
  • "Summarize the document"
  • "What are the key takeaways?"
  • "book appointment" to trigger form
• Get accurate, human-like answers

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📺 Demo

Watch the full demo here:
👉 https://youtu.be/zz36oq5EvEo

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🙌 Credits

Built with ❤️ using LangChain, Gemini, Streamlit, and FAISS.