Update app.py

app.py

@@ -170,14 +170,13 @@ def read_and_preprocess_dicom(file_path: str):
     numpydata = image_pil.reshape((numpydata.shape[0], numpydata.shape[1], 1))
     print("In preprocess dicom:", numpydata.shape)
     image = np.array(numpydata)[::-1].copy()
-    
-)
  
-# <class 'numpy.ndarray'>
-print(type(numpydata))
+    # <class 'numpy.ndarray'>
+    print(type(numpydata))
  
-#  shape
-print(numpydata.shape)
+    #  shape
+    print("numpydata.shape:",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({