doc2code-assistant 0.1.0

Your own AI coding assistant based on your documentation using open models (like Ollama) + Streamlit

🧠 Doc2Code Assistant

Your own AI coding assistant powered by local language models — no internet, no OpenAI, just raw power on your machine 💻⚡

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✨ Features

✅ Runs entirely locally using phi3:mini (or any Ollama-supported model)
✅ Uses your GPU for fast inference (if available)
✅ Clean and interactive Streamlit UI for querying docs and generating code
✅ No dependencies on OpenAI, APIs, or external services
✅ Automatically checks for GPU usage 💪

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🚀 Getting Started

1. 📦 Install Ollama

Linux/macOS

curl -fsSL https://ollama.com/install.sh | sh

Windows

Download the installer and follow the setup instructions.

2. 📥 Download a Model

Pull your preferred local model (default: phi3:mini):

ollama pull phi3:mini

You can also try others like codellama:7b or mistral:7b.

3. 🧪 (Optional) Test the Model in Terminal

ollama run phi3:mini

4. 🎛️ Run the App

streamlit run app.py

Then open your browser at http://localhost:8501

📝 Notes

Your documents should be placed in the docs/ folder. The assistant will index and learn from them automatically.

If you want to switch models, update the model name in app.py:

    llm = Ollama(model="your-model-name-here")

⚙️ Requirements

Python 3.10+ Ollama installed and running Streamlit:

pip install streamlit llama-index llama-index-llms-ollama llama-index-embeddings-huggingface

🤝 Contributing

Ideas, improvements, or bugs? Open an issue or submit a PR — contributions are welcome!

🔐 License

MIT License