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