app.py

from transformers import pipeline
import gradio as gr

# Load GPT-2 model
generator = pipeline("text-generation", model="gpt2")

# Function to generate text
def generate_text(prompt, max_length):
    result = generator(
        prompt,
        max_length=max_length,
        num_return_sequences=1,
        do_sample=True,
        temperature=0.7
    )
    return result[0]['generated_text']

# Gradio UI
demo = gr.Interface(
    fn=generate_text,
    inputs=[
        gr.Textbox(lines=4, placeholder="Enter your prompt here..."),
        gr.Slider(minimum=20, maximum=200, value=50, label="Max Length")
    ],
    outputs="text",
    title="🤖 GPT-2 Text Generator",
    description="Enter a prompt and generate text using GPT-2"
)

demo.launch()