app.py

import streamlit as st
from transformers import pipeline

# Function to extract text from SRT-formatted text
def extract_text_from_srt_text(srt_text):
    lines = srt_text.strip().split("\n")
    texts = [line.split("\n")[2] for line in lines if not line.startswith("0")]
    return " ".join(texts)

# Load summarization pipeline
summarizer = pipeline("summarization")

# Streamlit app
st.title("SRT Summarization")

# Text area for user to input SRT-formatted text
srt_text_input = st.text_area("Paste SRT-formatted text here:")

# Button to trigger summarization
if st.button("Summarize"):
    # Check if text area is not empty
    if srt_text_input.strip():
        # Extract text from SRT-formatted text
        text_to_summarize = extract_text_from_srt_text(srt_text_input)
        # Summarize text
        summary = summarizer(text_to_summarize, max_length=1500, min_length=10, do_sample=False)
        # Display summary
        st.subheader("Summary:")
        st.write(summary[0]["summary_text"])
    else:
        st.warning("Please enter some SRT-formatted text.")