Spaces:
Sleeping
Sleeping
File size: 1,802 Bytes
7a094b7 d2b3377 7a094b7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 |
import torch
import gradio as gr
# Use a pipeline as a high-level helper
from transformers import pipeline
# Use a pipeline as a high-level helper
# Use a pipeline as a high-level helper
from transformers import pipeline
text_summary = pipeline("summarization", model="sshleifer/distilbart-xsum-1-1", torch_dtype=torch.bfloat16)
# model_path=("../Models/models--sshleifer--distilbart-xsum-1-1/snapshots/891968fcbb0e421075cc2c3dfc8da8d4b24d54a4")
# text_summary = pipeline("summarization", model=model_path,
# torch_dtype=torch.bfloat16)
"""torch_dtype=torch.bfloat16 this parameter helps in compressing the
model without compromising the performance"""
text="Elon Reeve Musk (/ˈiːlɒn/ EE-lon; born June 28, 1971) is a businessman known for his leadership of Tesla, SpaceX, and X (formerly Twitter). Since 2025, he has been a senior advisor to United States President Donald Trump and the de facto head of the Department of Government Efficiency (DOGE). Musk is the wealthiest person in the world; as of March 2025, Forbes estimates his net worth to be US$345 billion. He was named Time magazine's Person of the Year in 2021."
#print(text_summary(text))
"Gradio actually accepts a function, whatever input we give it gives back to the function"
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="GenAi Text Summarizer",
description="This application is used to create the summary of the text")
demo.launch(share=True)
|