app.py

import gradio as gr

# def greet(name):
#     return "Hello " + name + "!!"

# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
# iface.launch()

from transformers import pipeline

nlp = pipeline("sentiment-analysis")

summurizer = pipeline( "summarization",
                        model="t5-base",
                        tokenizer = "t5-small",
                        truncuation = True,
                        framework ="tf" )

def translate(text):
    text = text.replace('"', '"')
    text = text.replace('&apos', "'")
    text = text.replace('&', '&')
    result = summurizer(text, min_length= 180, truncuation=True)
    return result[0]["summary_text"]


iface = gr.Interface( fn=translate,
                      inputs= gr.inputs.Textbox(lines=10, placeholder= "Enter a text to summurize ..."),
                      outputs= "text")

iface.launch()