from transformers import pipeline
import gradio as gr

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

def translate(text):
    text=text.replace('"','"')
    text=text.replace(''',"'")
    text=text.replace('&','&')
    result=summarizer(text, min_length=180,truncation=True,framework="tf")
    return result[0]["summary_text"]
    
iface=gr.Interface(
    fn=translate,
    inputs=gr.inputs.Textbox(lines=10, placeholder="Enter text to summarize..."),
    outputs='text'
)
iface.launch()