app.py

from transformers import pipeline 
import torch
import gradio as gr

summarizer = pipeline(task="summarization",
                      model="facebook/bart-large-cnn",
                      torch_dtype=torch.bfloat16)



# name of the function
def summary(text, min_len,max_len):
    summary = summarizer(text,min_length=min_len,max_length=max_len)
    return summary[0]['summary_text']


# We instantiate the Textbox class
#textbox = gr.Textbox(label="Summarizer: ", placeholder="Enter the text")


demo = gr.Interface(fn=summary, inputs = [gr.Textbox(label=" : Summarize Your Text : ", placeholder="Enter the text"),  gr.Slider(minimum=4, maximum=10, step=1),  gr.Slider(minimum=10, maximum=500, step=20),] , outputs="text",)

demo.launch()