app.py

import gradio as gr
from transformers import pipeline

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

def generate_text(prompt, max_length=50):
    # Generate text using the GPT-2 model
    generated_text = generator(prompt, max_length=max_length, num_return_sequences=1)[0]['generated_text']
    return generated_text

# Create a Gradio interface
iface = gr.Interface(
    fn=generate_text,
    inputs=[
        gr.Textbox(lines=3, placeholder="Enter your prompt here...", label="Prompt"),
        gr.Slider(minimum=10, maximum=100, value=50, label="Max Length"),
    ],
    outputs=gr.Textbox(label="Generated Text"),
    title="GPT-2 Text Generator",
    description="Enter a prompt and generate text using GPT-2 from Hugging Face."
)

# Launch the Gradio interface
iface.launch(share=True)