app.py

from transformers import pipeline
import gradio as gr

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

def generate_response(prompt):
    """Generate text based on the user's prompt."""
    response = generator(prompt, max_length=300, num_return_sequences=1)
    return response[0]["generated_text"]

# Create a Gradio interface
interface = gr.Interface(
    fn=generate_response, 
    inputs="text", 
    outputs="text",
    title="Simple LLM",
    description="Enter a prompt to get a response generated by GPT-2!"
)

# Launch the app
if __name__ == "__main__":
    interface.launch()