app.py

import gradio as gr
from transformers import pipeline

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

def generate_text(prompt):
    # Generate text based on the input prompt
    results = generator(prompt, max_length=100, num_return_sequences=1)
    return results[0]['generated_text']

# Set up the Gradio interface
interface = gr.Interface(
    fn=generate_text,
    inputs=gr.inputs.Textbox(lines=2, placeholder="Type something here..."),
    outputs='text',
    title="Simple Generative AI",
    description="Type in a prompt and get a continuation from GPT-2!"
)

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