app.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)


# model_path = ("../Models/models--sshleifer--distilbart-cnn-12-6/snapshots"
#               "/a4f8f3ea906ed274767e9906dbaede7531d660ff")

def summary(input_text):
    output = text_summary(input_text)
    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="@CreativeAI: Text Summarizer",
                    description="THIS APPLICATION WILL BE USED TO SUMMARIZE THE TEXT")
demo.launch()