| from transformers import pipeline | |
| import gradio as gr | |
| pipe = pipeline("text-generation", model="openai-community/gpt2") | |
| def generate(text): | |
| return pipe(text)[0]["generated_text"] | |
| demo = gr.Interface(fn=generate, | |
| inputs=["text"], | |
| outputs=["text"]) | |
| demo.launch() |