| import gardio as gr | |
| from transformers import pipeline | |
| def predict(text, name): | |
| pipe = pipeline("text2text-generation", model="flax-community/t5-recipe-generation") | |
| return pipe(text)[0]["translation_text"] | |
| demo = gr.Interface( | |
| fn=predict, | |
| inputs('text','text'), | |
| outputs='text' , | |
| ) | |
| demo.launch() |