app.py

from transformers import pipeline

import gradio as gr

pipe_flan = pipeline("text2text-generation", model="google/flan-t5-small")


def pred(input):
    output = pipe_flan(input)
    return output[0]["generated_text"]


demo = gr.Blocks()

with demo:
    with gr.Row():
        input_text = gr.Textbox(label='Input Text',lines=5)
        b1 = gr.Button('Submit')
        output_text = gr.Textbox()

    b1.click(fn = pred, inputs=input_text, outputs= output_text)

if __name__=='__main__':
    demo.launch()

# if __name__=='__main__'