app.py

import gradio as gr
from transformers import pipeline

# Load text generation pipeline
generator = pipeline("text-generation", model="gpt2")

def generate_text(prompt, max_length=100, temperature=0.7):
    result = generator(
        prompt,
        max_length=max_length,
        num_return_sequences=1,
        temperature=temperature,
        pad_token_id=50256  # for GPT2 to avoid warnings
    )
    return result[0]['generated_text']

with gr.Blocks() as demo:
    gr.Markdown("## Text Generation App (GPT-2 Demo)")

    prompt = gr.Textbox(
        lines=3, 
        placeholder="Enter a starting sentence...",
        label="Prompt"
    )
    length = gr.Slider(50, 300, value=100, step=10, label="Max Length")
    temp = gr.Slider(0.1, 1.0, value=0.7, step=0.1, label="Creativity (Temperature)")
    output = gr.Textbox(lines=10, label="Generated Text")

    btn = gr.Button("Generate")
    btn.click(fn=generate_text, inputs=[prompt, length, temp], outputs=output)

demo.launch()