Spaces:
Sleeping
Sleeping
File size: 1,566 Bytes
0318708 d1e88a4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 |
---
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
|