import torch
import gradio as gr

# Use a pipeline as a high-level helper
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")
# text_summary = pipeline("summarization", model=model_path,torch_dtype=torch.bfloat16)

# text="Elon Reeve Musk FRS is a businessman. He is known for his leadership of Tesla, SpaceX, X, and the Department of Government Efficiency. Musk has been considered the wealthiest person in the world since 2021; as of May 2025, Forbes estimates his net worth to be US$424.7 billion. Wikipedia
# Born: 28 June 1971 (age 54 years), Pretoria, South Africa
# Net worth: 40,980 crores USD (2025) Forbes
# Children: Vivian Jenna Wilson, Tau Techno Mechanicus Musk · See more
# Spouse: Talulah Riley (m. 2013–2016), Talulah Riley (m. 2010–2012), Justine Musk (m. 2000–2008)
# Education: University of Pennsylvania School of Arts and Sciences (1997) · See more
# Organizations founded: Tesla · See more
# Books: Elon Musk"
# print(text_summary(text));

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

gr.close_all()

# demo = gr.Interface(fn = summary, inputs ="text", outputs = "text")

demo =gr.Interface(fn =summary,
                   inputs =[gr.Textbox(label= "Input text to summarize",lines=6)],
                   outputs =[gr.Textbox(label="summarized text", lines=4)],
                   title="@GenAILearniverse Project 1 : Text Summarizer",
                   description="THIS APPLICATION WILL BE USED TO SUMMARIZE THE TEXT" )
demo.launch()