🤖 DeepSeek Chatbot

This is a simple chatbot built using DeepSeek AI and Streamlit for an interactive chat experience.

✨ Features

• ⚡ Uses DeepSeek AI model for generating intelligent responses.
• 🎨 Built with Streamlit for a user-friendly web UI.
• 🔄 Maintains chat history in session storage.
• 🔒 Securely loads API key using dotenv.

📦 Requirements

Make sure you have Python installed (>=3.7) and install the necessary dependencies:

pip install streamlit python-dotenv deepseek

🔑 Setup

1. Get a DeepSeek API Key:

   • Sign up on DeepSeek AI and generate an API key.
   • Copy the API key for later use.

2. Create a .env file in the project directory and add your API key:

   DEEPSEEK_API_KEY=your_api_key_here

🚀 Run the Chatbot

Execute the following command in your terminal:

streamlit run main.py

This will start a local web server where you can chat with DeepSeek AI.

📂 Project Structure

📂 deepseek_chatbot
│-- main.py  # Main Streamlit app
│-- .env  # API key (not shared)
│-- requirements.txt  # Dependencies
│-- README.md  # Project documentation

☁️ Deployment

To deploy on platforms like Streamlit Cloud, Hugging Face Spaces, or Render:

1. Push your code to GitHub.
2. Use the platform’s deployment guide to connect your repository.
3. Ensure your .env variables are set in the hosting environment.

🔮 Future Enhancements

• 🎙️ Add voice-to-text input.
• 📝 Improve response formatting with Markdown.
• 💾 Store chat history in a database for analysis.

Enjoy chatting with DeepSeek AI! 🚀