Metadata-Version: 2.4
Name: spacegen-by-veera
Version: 0.1.1
Summary: Professional Gradio application for converting Python code into deployable Hugging Face Spaces.
Author: Veerakumar C B
License: MIT
Project-URL: Homepage, https://huggingface.co/spaces/codeboosterstech/pydeploy-studio
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: gradio>=6.2.0
Requires-Dist: langchain-groq>=0.1.0
Requires-Dist: huggingface-hub>=0.20.0
Requires-Dist: python-dotenv>=1.0.0
Requires-Dist: nbconvert>=7.0.0
Requires-Dist: beautifulsoup4>=4.12.0
Requires-Dist: requests>=2.31.0
Requires-Dist: pillow>=10.0.0
Requires-Dist: markdown>=3.5.0
Requires-Dist: pyyaml>=6.0
Dynamic: license-file

# spacegen-by-veera

A professional Gradio application that converts Python code into deployable Hugging Face Spaces.

## Overview

`spacegen-by-veera` transforms Python scripts and Jupyter notebooks into fully working Gradio applications and helps package them for deployment.

## Features

- Convert Python code into a Gradio app automatically
- Generate `app.py`, `requirements.txt`, and `README.md`
- Download a ready-to-deploy ZIP package
- Optionally deploy directly to Hugging Face Spaces

## Installation

```bash
pip install spacegen-by-veera
```

## Usage

```bash
spacegen-by-veera
```

Alternatively, import the package in your Python code:

```python
from app import create_app

demo = create_app()
demo.launch()
```

## Requirements

- Python 3.9+
- `gradio>=6.2.0`
- `langchain-groq>=0.1.0`
- `huggingface-hub>=0.20.0`

## Notes

This package is designed to work with Groq and Hugging Face APIs, but API keys are provided by the user at runtime and not stored by the package.
