| import torch | |
| from transformers import pipeline | |
| import gradio as gr | |
| pipe = pipeline("text-generation", model="MTSAIR/multi_verse_model") | |
| def greet(name): | |
| res = pipe(name, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) | |
| return res[0]['generated_text'] | |
| iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
| iface.launch() | |