import gradio as gr
from transformers import pipeline

# Load a pre-trained Hugging Face model
generator = pipeline("text-generation", model="gpt2")

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

# Create the Gradio interface
iface = gr.Interface(
    fn=generate_text,
    inputs=gr.Textbox(lines=2, placeholder="Enter your prompt here..."),
    outputs=gr.Textbox()
)

# Launch the interface
iface.launch()