from transformers import pipeline
import gradio as gr

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

# Function to generate text
def generate_text(prompt):
    result = generator(prompt, max_length=30, num_return_sequences=1)
    return result[0]['generated_text']

# Gradio interface
iface = gr.Interface(fn=generate_text, inputs="text", outputs="text", title="AI Text Generator")
iface.launch()