README.md

metadata

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

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.