Update app.py

app.py

@@ -37,16 +37,16 @@ def test_image(object_image):
     # Convert the file to an opencv image.
     file_bytes = np.asarray(bytearray(object_image.read()), dtype=np.uint8)
     opencv_image = cv2.imdecode(file_bytes, 1)
-    opencv_image = cv2.resize(opencv_image, (200, 200))
-    opencv_image.shape = (1, 200, 200, 3)
+    opencv_image = cv2.resize(opencv_image, (160, 160))
+    opencv_image.shape = (1, 160, 160, 3)
     opencv_image = preprocess_input(opencv_image)
     predictions = model.predict(opencv_image)
 
     if predictions[0, 0] >= 0.5:
-        result = 'DOG'
+        result = 'Pikachu'
         confidence = predictions[0, 0] * 100
     else:
-        result = 'CAT'
+        result = 'Raichu'
         confidence = 100 - (predictions[0, 0] * 100)
 
     return result, round(confidence, 2)