README.md

---
title: Text Generation Demo
emoji: 🚀
colorFrom: indigo
colorTo: blue
sdk: gradio
app_file: app.py
pinned: false
---

# Text Generation Demo

## Overview  
This Space is a minimal, education-focused demonstration of text generation using the 🤗 Transformers library and the Gradio interface framework. It uses small, CPU-friendly language models (such as `gpt2` and `distilgpt2`) to provide an accessible example for students, researchers, and hobbyists interested in Natural Language Processing (NLP).  

## Purpose  
The primary purpose of this project is to explore prompt-based generation techniques, experiment with decoding parameters (temperature, top-p, max tokens), and better understand the behavior of pre-trained language models in a safe, non-production environment.  

## Key Features  
- Clean Gradio UI (prompt, decoding controls).  
- Works entirely on CPU hardware.  
- Uses open-source models with permissive licenses.  
- Strictly for research, learning, and responsible AI experimentation.  

## How to run locally
```bash
pip install -r requirements.txt
python app.py



Acceptable Use
This project is strictly for legitimate, non-harmful use cases, including but not limited to:

Educational demonstrations.

Research and academic studies.

Prototyping safe NLP applications.

It must not be used for:

Generating harmful, illegal, or unsafe content.

Any prohibited use outlined in the Hugging Face or model-specific licenses.

By using this Space, you agree to follow the model licenses and the Hugging Face Acceptable Use Policy.