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| 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' | |
| st.image(logo_image_path, width=150) | |
| st.title("Automated Abdominal Aortic Aneurysm Detection") | |
| # Function to install dependencies | |
| def install_dependencies(): | |
| command = "chmod +x install.sh" | |
| subprocess.run(command, shell=True, check=True) | |
| command = "./install.sh" | |
| subprocess.run(command, shell=True, check=True) | |
| # Function to run inference | |
| def run_inference(): | |
| command = "chmod +x inference.sh" | |
| subprocess.run(command, shell=True, check=True) | |
| command = "./inference.sh" | |
| subprocess.run(command, shell=True, check=True) | |
| def zip_and_download(directory, zip_filename): | |
| zipf = zipfile.ZipFile(zip_filename, 'w', zipfile.ZIP_DEFLATED) | |
| for root, _, files in os.walk(directory): | |
| for file in files: | |
| zipf.write(os.path.join(root, file), os.path.relpath(os.path.join(root, file), directory)) | |
| zipf.close() | |
| with open(zip_filename, 'rb') as f: | |
| bytes_data = f.read() | |
| st.download_button(label="Download Outputs", data=bytes_data, file_name=zip_filename, mime="application/zip") | |
| def search_file(start_path, target_file): | |
| for root, _, files in os.walk(start_path): | |
| if target_file in files: | |
| return os.path.join(root, target_file) | |
| return None | |
| # Main Streamlit code | |
| def main(): | |
| st.write("Upload a ZIP file containing DICOM slices") | |
| uploaded_zip_file = st.file_uploader("Upload a .zip file", type=["zip"]) | |
| 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) | |
| with zipfile.ZipFile(uploaded_zip_file, "r") as zip_ref: | |
| zip_ref.extractall(temp_dir) | |
| st.success("Zip file uploaded successfully") | |
| if st.button("Analyze"): | |
| st.success("Analysis started (expected time: 5 mins)") | |
| run_inference() | |
| outputs_directory = "/home/user/app/C2C/outputs" | |
| if os.path.exists(outputs_directory): | |
| 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") | |
| video_path = search_file(temp_dicom_dir_path, "aaa.mp4") | |
| image_path = search_file(temp_dicom_dir_path, "diameter_graph.png") | |
| largest_slice = search_file(temp_dicom_dir_path, "out.png") | |
| if video_path and image_path and largest_slice: | |
| zip_filename = os.path.join(temp_dir, "outputs.zip") | |
| zip_and_download(temp_dicom_dir_path, zip_filename) | |
| st.title("Largest Slice") | |
| st.image(largest_slice, use_column_width=True) | |
| st.title("Video") | |
| st.video(video_path, format="video/mp4") | |
| st.title("Diameter Graph") | |
| st.image(image_path, use_column_width=True) | |
| else: | |
| st.error("Output files not found") | |
| else: | |
| st.warning("Ouput files not found") | |
| else: | |
| st.error("Output files not found") | |
| except Exception as e: | |
| st.error(f"Error: {str(e)}") | |
| if __name__ == "__main__": | |
| main() | |