| import gradio as gr | |
| # Use a pipeline as a high-level helper | |
| from transformers import pipeline, set_seed | |
| pipe = pipeline("text-generation", model="Narsil/gpt3", trust_remote_code=True) | |
| set_seed(42) | |
| def greet(name): | |
| return pipe(name)[0]['generated_text'] | |
| # greet('df') | |
| iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
| iface.launch() |