Update app.py

app.py

@@ -162,11 +162,22 @@ def read_and_preprocess_dicom(file_path: str):
         pixel_array = ((pixel_array - np.min(pixel_array)) / (np.max(pixel_array) - np.min(pixel_array)) * 255).astype(
             np.uint8)
     image_pil = Image.fromarray(pixel_array)
+
+    # asarray() class is used to convert
+    # PIL images into NumPy arrays
+    numpydata = asarray(image_pil)
     #convert to cv2 format
     image_pil = image_pil.reshape((image_pil.shape[0], image_pil.shape[1], 1))
     print("In preprocess dicom:", image_pil.shape)
     image = np.array(image_pil)[::-1].copy()
     
+)
+ 
+# <class 'numpy.ndarray'>
+print(type(numpydata))
+ 
+#  shape
+print(numpydata.shape)
     # Collect metadata in dictionary format and convert to DataFrame
     metadata_dict = {elem.name: str(elem.value) for elem in dicom_data.iterall() if elem.name != 'Pixel Data'}
     df_metadata = pl.DataFrame({