README.md

metadata

title: Mynotebooksummary
emoji: 🔥
colorFrom: yellow
colorTo: indigo
sdk: gradio
sdk_version: 5.25.1
app_file: app.py
pinned: false
short_description: Summarize Jupyter notebooks

Notebook Enhancer Prototype

This tool uses Hugging Face models to automatically enhance Python Jupyter notebooks by adding:

1. Descriptive titles before each code cell
2. Detailed summaries explaining what the code does

Features

• Analyzes Python code in Jupyter notebooks using NLP models
• Generates concise titles for each code cell
• Creates explanatory summaries of the code's purpose and functionality
• User-friendly Gradio interface for easy upload and processing
• Works with standard .ipynb notebook files

Requirements

pip install transformers torch gradio nbformat

Usage

1. Run the application:

   python notebook_enhancer.py
   

2. Access the Gradio interface in your browser (typically at http://127.0.0.1:7860)

3. Upload a Jupyter notebook file (.ipynb)

4. Click "Enhance Notebook" to process the file

5. Download the enhanced notebook

How It Works

The application uses one Hugging Face model:

• "sagard21/python-code-explainer" https://huggingface.co./sagard21/python-code-explainer

Limitations

• The Hugging Face models have a maximum input token limit, so very long code cells may be truncated
• The quality of summaries depends on the clarity and structure of the original code
• Processing large notebooks may take some time due to the NLP models
• This is a prototype solution; more tweaking is required