app.py

import gradio as gr
from transformers import pipeline

generator = pipeline("text-generation", model="distilgpt2")

def generate_text(prompt):
    result = generator(prompt, max_length=50, num_return_sequences=1)
    return result[0]["generated_text"]

iface = gr.Interface(
    fn=generate_text,
    inputs=gr.Textbox(lines=2, placeholder="Enter your prompt..."),
    outputs="text",
    title="Text Generation with DistilGPT2",
    description="Enter a prompt and generate text using the HuggingFace Transformers pipeline."
)

if __name__ == "__main__":
    iface.launch()