app.py

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()