app.py

import streamlit as st
import pydicom
import matplotlib.pyplot as plt
import zipfile
import os
import subprocess
from datetime import datetime
import shutil
import moviepy.video.io.ImageSequenceClip
from io import BytesIO
from tkinter import Tcl
from PIL import Image

subprocess_executed = False

logo_image_path = '1.png'  # Replace with your logo image path or URL

# Display the logo at the top of the page
st.image(logo_image_path, width=150)
st.title("Automated Abdominal Aortic Aneurysm Detection")

# Upload a ZIP file containing DICOM slices
st.write("Upload a ZIP file containing DICOM slices")
uploaded_zip_file = st.file_uploader("Upload a .zip file", type=["zip"])

@st.cache_resource
def install_dependencies():
        command = "chmod +x install.sh"
        try:
            subprocess.run(command, shell=True, check=True)
            print("Script 'install.sh' has been made executable.")
        except subprocess.CalledProcessError as e:
            print(f"Error while making the script executable: {e}")

        command = "./install.sh"
        try:
            subprocess.run(command, shell=True, check=True)
            print("Script 'install.sh' has started running.")
            install_script_executed = True
        except subprocess.CalledProcessError as e:
            print(f"Error while running the script: {e}")

@st.cache_resource
def run_inference():
        command = "chmod +x inference.sh"
        try:
            subprocess.run(command, shell=True, check=True)
            print("Script 'inference.sh' has been made executable.")
        except subprocess.CalledProcessError as e:
            print(f"Error while making the script executable: {e}")

        command = "./inference.sh"
        try:
            subprocess.run(command, shell=True, check=True)
            print("Script 'inference.sh' has started running.")
        except subprocess.CalledProcessError as e:
            print(f"Error while running the script: {e}")

if uploaded_zip_file is not None:
    try:    
        install_dependencies()
        
        temp_dir = "/home/user/app/C2C/temp_dicom_dir"
        
        os.makedirs(temp_dir, exist_ok=True)
        full_path = os.path.abspath(temp_dir)
        st.success("Zip file uploaded successfully")

        
        with zipfile.ZipFile(uploaded_zip_file, "r") as zip_ref:
            zip_ref.extractall(temp_dir)

        dicom_files = [os.path.join(temp_dir, f) for f in os.listdir(temp_dir) if f.endswith(".dcm")]
        dicom_files.sort()  

        # Anonymize DICOM files
        for file_path in dicom_files:
            ds = pydicom.dcmread(file_path)

            # Anonymize personal information
            if 'PatientName' in ds:
                ds.PatientName = 'Anonymized'
            if 'PatientID' in ds:
                ds.PatientID = '00000000'

            print("Anonymized")
            
            ds.save_as(file_path)
            
    except Exception as e:
        st.error(f"Error: {str(e)}")

if st.button("Analyze"):

    st.success("Analysis started (expected time: 5 mins)")
    run_inference()


    outputs_directory = "/home/user/app/C2C/outputs"

    

    subdirectories = [subdir for subdir in os.listdir(outputs_directory)
        if os.path.isdir(os.path.join(outputs_directory, subdir))]

    first_subdirectory = subdirectories[0] if subdirectories else None

    if first_subdirectory:
        subdirectory_path = os.path.join(outputs_directory, first_subdirectory)
        temp_dicom_dir_path = os.path.join(subdirectory_path, "temp_dicom_dir")

        dicom_subdirectories = [subdir for subdir in os.listdir(temp_dicom_dir_path)
            if os.path.isdir(os.path.join(temp_dicom_dir_path, subdir))]

        first_dicom_subdirectory = dicom_subdirectories[0] if dicom_subdirectories else None

        if first_dicom_subdirectory:
            video_path = os.path.join(temp_dicom_dir_path, first_dicom_subdirectory, "images/summary/aaa.mp4")
            image_path = os.path.join(temp_dicom_dir_path, first_dicom_subdirectory, "images/summary/diameter_graph.png")
            largest_slice = os.path.join(temp_dicom_dir_path, first_dicom_subdirectory, "images/summary/out.png")

            if os.path.exists(largest_slice):
                st.title("Largest Slice")
                st.image(largest_slice, use_column_width=True)

            # Display the video
            if os.path.exists(video_path):
                st.title("Video")
                st.video(video_path, format="video/mp4")

            # Display the image
            if os.path.exists(image_path):
                st.title("Diameter Graph")
                st.image(image_path, use_column_width=True)
        else:
            st.warning("No subdirectories or folders found inside 'temp_dicom_dir'.")
    else:
        st.warning("No subdirectories or folders found inside the 'outputs' directory.")