| import gradio as gr | |
| from transformers import pipeline | |
| generator = pipeline('text-generation', model='gpt2') | |
| def generate_text(inp): | |
| return generator(inp, max_length=50, do_sample=True, temperature=0.7)[0]['generated_text'] | |
| iface = gr.Interface(fn=generate_text, inputs="textbox", outputs="text") | |
| iface.launch() | |