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import streamlit as st
import pydicom
import matplotlib.pyplot as plt
import zipfile
import os
import subprocess
# Define the commands
commands = [
"conda init",
"cd Comp2Comp-main",
"conda create -n c2c_env python=3.8",
"conda activate c2c_env",
"pip install -e ."
]
# Run the commands
for command in commands:
try:
subprocess.run(command, shell=True, check=True, text=True)
except subprocess.CalledProcessError as e:
print(f"Error running the command: {e}")
# Streamlit app title
st.title("DICOM Image Viewer")
# Upload a ZIP file containing DICOM slices
uploaded_zip_file = st.file_uploader("Upload a ZIP file containing DICOM slices", type=["zip"])
# Function to read and display the DICOM image
@st.cache(suppress_st_warning=True, show_spinner=False)
def display_dicom_image(selected_slice, dicom_files):
dicom_data = pydicom.dcmread(dicom_files[selected_slice])
# Display the DICOM image
plt.imshow(dicom_data.pixel_array, cmap=plt.cm.bone)
plt.axis("off")
plt.title("DICOM Image")
plt.tight_layout()
return plt
if uploaded_zip_file is not None:
try:
# Create a temporary directory to unzip the files
temp_dir = "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)
# Get a list of DICOM files in the directory
dicom_files = [os.path.join(temp_dir, f) for f in os.listdir(temp_dir) if f.endswith(".dcm")]
dicom_files.sort() # Sort the files
if len(dicom_files) == 0:
st.error("No DICOM files found in the ZIP archive.")
else:
# Display a slider for selecting the slice
selected_slice = st.slider("Select a slice", 0, len(dicom_files) - 1, 0)
# Display the DICOM image using the cached function
plt = display_dicom_image(selected_slice, dicom_files)
st.pyplot(plt)
except Exception as e:
st.error(f"Error: {str(e)}")
finally:
# Clean up by removing the temporary directory
for file in dicom_files:
os.remove(file)
os.rmdir(temp_dir)
st.write("Upload a ZIP file containing DICOM slices to view the images.")
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