🤖 LLM Powered Chatbot using LangChain + Hugging Face

An interactive conversational AI chatbot built using LangChain, Hugging Face LLMs, and Streamlit.
This project demonstrates the integration of open-source Large Language Models (LLMs) with a modern chat interface supporting multi-turn conversations and session-based memory handling.

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🚀 Features

• 💬 Interactive chatbot interface using Streamlit
• 🧠 Multi-turn conversation support
• 🔗 LangChain integration
• 🤗 Hugging Face LLM inference endpoint support
• ⚡ Real-time response generation
• 🧩 Modular code architecture
• 🔒 Environment variable support using .env
• 🛠 Beginner-friendly and extensible foundation for RAG and AI agents

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🧰 Tech Stack

• Python
• LangChain
• Hugging Face
• Streamlit
• Transformers
• PyTorch
• dotenv

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📂 Project Structure

├── app.py              # Streamlit frontend and chat interface
├── chatbot.py          # LLM loading and model orchestration
├── requirements.txt    # Project dependencies
├── .env                # API tokens (not uploaded to GitHub)
└── README.md

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⚙️ Installation

1️⃣ Clone the Repository

git clone https://github.com/your-username/llm-chatbot.git
cd llm-chatbot

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2️⃣ Create Virtual Environment

Windows

python -m venv venv
venv\Scripts\activate

Linux / Mac

python3 -m venv venv
source venv/bin/activate

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3️⃣ Install Dependencies

pip install -r requirements.txt

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🔑 Environment Variables

Create a .env file in the project root directory.

HUGGINGFACEHUB_API_TOKEN=your_huggingface_token

You can generate a Hugging Face token from:

https://huggingface.co/settings/tokens

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▶️ Run the Application

streamlit run app.py

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🖥 Application Preview

The chatbot provides:

• User-friendly conversational interface
• Real-time AI responses
• Session-based message history
• Open-source LLM interaction

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🧠 Model Used

Current configuration uses:

• Meta Llama 3.1 8B Instruct
• Mistral 7B Instruct

via Hugging Face Inference API.

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This project is developed for educational and learning purposes to explore:

• LLM applications
• LangChain orchestration
• Conversational AI systems
• Open-source model integration

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👨‍💻 Author

Dewang Moghe

• LinkedIn: https://www.linkedin.com/in/dewang-moghe
• GitHub: https://github.com/Devm2512

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⭐ If you found this project useful, consider giving it a star!