Update app.py

app.py

@@ -166,18 +166,15 @@ 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)
+    
+    image = image_pil.convert('RGB')
 
-    # asarray() class is used to convert
-    # PIL images into NumPy arrays
-    numpydata = np.asarray(image_pil)
-    #convert to cv2 format
-    numpydata = numpydata.reshape((numpydata.shape[0], numpydata.shape[1], 3))
-    print("In preprocess dicom:", numpydata.shape)
+    print("In preprocess dicom:", image.shape)
     #image = np.array(numpydata)[::-1].copy()
     image = np.array(numpydata)[:,:,::-1].copy()
  
     #  shape
-    print("In preprocess dicom-image.shape:",image.shape)
+    print("In preprocess dicom-image.shape2:",image.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'}