app.py

#use a pipeline as high level language 
import torch 
import gradio as gr
from transformers import pipeline 
text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6", 
             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 Note to summarize", lines=6)],
    outputs=[gr.Textbox(label="summarize Note", lines=6)],
    title="3mtt GenAi project: Note summarize ",
    description="This application will be used to summeraize note")
    
demo.launch(debug=True)