| import gradio as gr | |
| from transformers import pipeline | |
| # Initialize a text generation model | |
| generator = pipeline("text-generation", model="gpt2") | |
| def generate_text(prompt): | |
| return generator(prompt, max_length=50)[0]["generated_text"] | |
| iface = gr.Interface(fn=generate_text, inputs="text", outputs="text") | |
| iface.launch() |