app.py

import streamlit as st
from transformers import pipeline
import logging

# Setup logging
def setup_logging():
    logging.basicConfig(
        level=logging.INFO,
        format='%(asctime)s - %(levelname)s - %(message)s',
        handlers=[
            logging.StreamHandler()
        ]
    )

def main():
    setup_logging()
    logging.info("Starting the Streamlit app.")

    # Initialize the summarization pipeline
    summarizer = pipeline("summarization")

    # Streamlit UI
    st.title("GenAI Lab Report Analyzer")
    st.write("Upload a file, record audio, or type text to generate a summary. Select the appropriate input type and provide the input.")

    input_type = st.radio(
        "Select Input Type:",
        options=["Text", "Text File", "PDF", "DOCX", "Audio"],
        index=0
    )

    file = None
    text = None
    audio = None

    if input_type == "Text":
        text = st.text_area("Enter your text here:", placeholder="Type your text here...")
    elif input_type in ["Text File", "PDF", "DOCX"]:
        file = st.file_uploader(f"Upload your {input_type}:", type=["txt", "pdf", "docx"])
    elif input_type == "Audio":
        audio = st.file_uploader("Upload your audio file:", type=["wav", "mp3", "m4a"])

    if st.button("Report Result"):
        try:
            if input_type == "Text" and text:
                logging.info("Processing text input.")
                summary = summarizer(text, max_length=130, min_length=30, do_sample=False)
                logging.info("Text input processed successfully.")
            elif input_type in ["Text File", "PDF", "DOCX"] and file:
                logging.info(f"Processing {input_type} file: {file.name}")
                # Add file reading logic here
                summary = "File processing not implemented yet."
            elif input_type == "Audio" and audio:
                logging.info("Processing audio input.")
                # Add audio processing logic here
                summary = "Audio processing not implemented yet."
            else:
                summary = "Invalid input. Please provide a valid file or text."
                logging.warning("Invalid input type provided.")

            st.text_area("Report Result:", summary[0]['summary_text'] if isinstance(summary, list) else summary, height=200)
        except Exception as e:
            logging.error(f"Error during summarization: {e}")
            st.error("An error occurred during summarization. Please check the logs for more details.")

    logging.info("Closing the Streamlit app.")

if __name__ == "__main__":
    main()