🤖 DeepChat

DeepChat is an AI-powered chatbot leveraging DeepSeek-R1 (1.5B) parameters, built with Streamlit and Ollama for seamless and interactive conversations.

Directory Structure

deepchat/
├── app/
│   ├── __init__.py
│   ├── main.py          # Streamlit application
│   └── utils.py         # Helper functions
├── assets              
├── requirements.txt     # Python dependencies
├── .gitignore
├── README.md            

🚀 Quick Start

Prerequisites

• Python 3.9+

• Ollama installed and running

• DeepSeek-R1 model:

  ollama pull deepseek-r1:1.5b

Installation

1. Clone repository:

   git clone https://github.com/mohd-faizy/DeepChat.git

2. Create virtual environment:

   python -m venv venv

3. Activate environment:

   # Linux/macOS
   source venv/bin/activate
   
   # Windows
   .\venv\Scripts\activate

4. Install dependencies:

   pip install -r requirements.txt

🖥️ Usage

1. Start Ollama service:

   ollama serve

2. In a separate terminal, launch the chat interface:

   streamlit run app/main.py

🔧 Troubleshooting

Port Conflict (11434):

# Windows
netstat -ano | findstr :11434
taskkill /PID <PID> /F

# Linux/macOS
lsof -i :11434
kill -9 <PID>

Common Issues:

• Ensure Ollama is running before launching the Streamlit app
• Verify model installation: ollama list
• Check firewall settings if experiencing connection issues

🍰 Contributing

Contributions are welcome!

⚖ ➤ License

This project is licensed under the MIT License. See LICENSE for details.

❤️ Support

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🔗Connect with me

➤ If you have questions or feedback, feel free to reach out!!!

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