🧠 Custom DeepSeek Assistant for Programming

A powerful AI-powered coding assistant built using DeepSeek AI, LangChain, and Ollama. This assistant can help with Python programming, code debugging, documentation, and solution design.

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🚀 Features

• 🐍 Python Expert: Provides accurate code solutions.
• 🐞 Debugging Assistant: Identifies and resolves bugs with strategic print statements.
• 📝 Code Documentation: Generates professional code documentation.
• 💡 Solution Design: Assists in designing efficient coding solutions.

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⚙️ Technologies Used

• Streamlit: For creating the web interface.
• LangChain: Manages LLM prompts and workflows.
• Ollama: Runs DeepSeek models locally.
• DeepSeek AI Models: deepseek-r1:1.5b and deepseek-r1:3b.

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🗂️ Project Structure

├── app.py                # Main Streamlit application
├── requirements.txt      # Project dependencies
└── README.md             # Project documentation

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🛠️ Installation

1. Clone the Repository:

   git clone https://github.com/your-username/custom-deepseek-assistant.git
   cd custom-deepseek-assistant
   

2. Create a Virtual Environment:

   python -m venv venv
   source venv/bin/activate   # For Linux/macOS
   venv\Scripts\activate      # For Windows
   

3. Install Dependencies:

   pip install -r requirements.txt
   

4. Run Ollama Locally:
   Make sure Ollama is running on http://localhost:11434.

5. Start the Application:

   streamlit run app.py
   

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⚡ How It Works

1. Select the DeepSeek model (1.5b or 3b) from the sidebar.
2. Enter your coding question in the chat input field.
3. The assistant responds with code suggestions, debugging tips, and more.

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🙋‍♂️ Developer Info

• Customized by: Md Emon Hasan
• GitHub: Md-Emon-Hasan
• LinkedIn: Md Emon Hasan
• Email: iconicemon01@gmail.com

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📜 License

This project is licensed under the MIT License.

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⭐ Show Your Support

If you found this project helpful:

• Give it a ⭐ on GitHub
• Share it with your friends
• Fork and contribute to the project 🚀