test_2 / app.py
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Update app.py
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import gradio as gr
from transformers import pipeline
import pandas as pd
import time # Import time to measure duration
# Load the text summarization pipeline
summarizer = pipeline("summarization", model="astro21/bart-cls_n")
chunk_counter = 0
def summarize_text(input_text):
global chunk_counter
start_time = time.time() # Start timer
chunk_counter = 0
max_chunk_size = 1024
chunks = [input_text[i:i + max_chunk_size] for i in range(0, len(input_text), max_chunk_size)]
summarized_chunks = []
chunk_lengths = []
summarized_chunks_only = []
for chunk in chunks:
chunk_counter += 1
summarized_chunk = summarizer(chunk, max_length=128, min_length=64, do_sample=False)[0]['summary_text']
summarized_chunks.append(f"Chunk {chunk_counter}:\n{summarized_chunk}")
summarized_chunks_only.append(summarized_chunk)
chunk_lengths.append(len(chunk))
summarized_text = "\n".join(summarized_chunks)
summarized_text_only = "\n".join(summarized_chunks_only)
# Save the merged summary to a file
with open("summarized.txt", "w") as output_file:
output_file.write(summarized_text_only)
end_time = time.time() # End timer
duration = end_time - start_time
result = f"Summarized in {duration:.2f} seconds:\n{summarized_text}"
return result
# Define the Gradio interface
demo = gr.Interface(fn=summarize_text,
inputs=gr.Textbox(label="Enter Text", placeholder="Paste your text here.", lines=10),
outputs=gr.Textbox(label="Summarized Text"),
title="Text Summarization",
description="Paste text and click 'Summarize' to see a summarized version using BART.",
theme="huggingface",
allow_flagging="never")
demo.launch(share=True, debug=True)