🤖 LangGraph Chatbot

A conversational AI Chatbot built with LangGraph, featuring:

• LangGraph backend for dialogue management.
• Streamlit frontend for an interactive chat UI.

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📌 Features

• 🧩 Built with LangGraph for structured conversational flow.
• 🖥️ Frontend powered by Streamlit.
• 🔐 Secure environment variable management with .env.
• 🛠️ Modular — extend with APIs, tools, and RAG pipelines.

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🚀 Getting Started

git clone https://github.com/YOUR_USERNAME/YOUR_REPO.git](https://github.com/manav8826/ChatBot_LangGraph/tree/main) cd YOUR_REPO

2. Create & Activate Virtual Environment python -m venv venv source venv/bin/activate # Mac/Linux venv\Scripts\activate # Windows

3. Install Dependencies pip install -r requirements.txt

4. Setup Environment Variables

Create a .env file:

GOOGLE_GENAI_AI_API_KEY=your_api_key_here

(See .env.example for reference.)

5. Run the Backend python langgraph_backend.py

6. Run the Frontend streamlit run streamlit_frontend.py

📂 Project Structure

├── langgraph_backend.py   # Backend logic using LangGraph
├── streamlit_frontend.py  # Streamlit UI for chatbot
├── requirements.txt       # Python dependencies
├── .env.example           # Example environment file
├── .gitignore             # Ignore secrets & build files
└── README.md              # Project documentation

🛠️ Tech Stack

Python

LangGraph

Streamlit

GoggleGenAI API

📌 Future Improvements

Add conversation memory (database/Redis).

Deploy on Streamlit Cloud or Render.

Add support for multi-agent workflows.

📜 License

MIT License