🔎 Search-LLM-Deploy-HuggingFace

A chatbot that leverages Large Language Models (LLMs) to perform real-time web searches using LangChain, Groq API, and various search tools. This project is deployed on Hugging Face Spaces.

🚀 Live Demo

Try the chatbot here: Search Engine LLM

🛠 Features

• 🌐 Web Search: Retrieves up-to-date information from the web using DuckDuckGo.
• 📚 Arxiv & Wikipedia Support: Fetches relevant academic papers and Wikipedia summaries.
• 🤖 LLM-Powered Responses: Uses Groq's qwen-2.5-32b model for intelligent responses.
• 🔄 Chat History: Maintains session history for a better user experience.
• 📊 LangSmith Tracing: Enables tracking and debugging of LangChain interactions.
• 📂 Deployed on Hugging Face Spaces: Easily accessible without setup.

🏗️ Tech Stack

• Python 🐍
• Streamlit 🎈
• LangChain & LangSmith 🔗
• Groq API 🚀
• DuckDuckGo Search API 🔎
• Arxiv & Wikipedia API 📖

📥 Installation

1. Clone the repository:

   git clone https://github.com/laavanjan/Search-LLM-deploy-huggingface.git
   cd Search-LLM-deploy-huggingface

2. Install dependencies:

   pip install -r requirements.txt

3. Set up environment variables:

   Create a .env file and add your API keys:

   GROQ_API_KEY=your_groq_api_key
   LANGCHAIN_API_KEY=your_langchain_api_key
   LANGCHAIN_TRACING_V2=true
   LANGCHAIN_PROJECT="Chatbot with webSearch"

4. Run the application:

   streamlit run app.py

🖼️ Demo Images

(Screenshots of the chatbot in action will be added here)

📝 License

This project is licensed under the GPL License.

🤝 Contributing

Contributions are welcome! Feel free to fork the repo, make changes, and submit a pull request.

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