Summarizer.py

import torch
import gradio as gr

from transformers import pipeline

#text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6", torch_dtype=torch.bfloat16)
text_summary = pipeline("summarization", model="facebook/bart-large-cnn", torch_dtype=torch.bfloat16)



def summary (input):
    output = text_summary(input)
    return output[0]['summary_text']

gr.close_all()

demo = gr.Interface(fn=summary,
                    inputs=[gr.Textbox(label="Input text to summarize",lines=6)],
                    outputs=[gr.Textbox(label="Summarized text",lines=4)],
                    title="Text Summarizer Using Bart",
                    description="THIS APPLICATION WILL BE USED TO SUMMARIZE THE TEXT")
demo.launch()