Update app.py

app.py

@@ -8,11 +8,11 @@ model_path = "BMWXModelClassifier.keras"
 model = tf.keras.models.load_model(model_path)
 
 # Define the core prediction function
-def predict_pokemon(image):
+def predict_bmwX(image):
     # Preprocess image
     print(type(image))
     image = Image.fromarray(image.astype('uint8'))  # Convert numpy array to PIL image
-    image = image.resize((150, 150)) #resize the image to 150x150
+    image = image.resize((224, 224)) #resize the image to 224x224
     image = np.array(image)
     image = np.expand_dims(image, axis=0) # same as image[None, ...]
     
@@ -36,7 +36,7 @@ def predict_pokemon(image):
 
 input_image = gr.Image()
 iface = gr.Interface(
-    fn=predict_pokemon,
+    fn=predict_bmwX,
     inputs=input_image, 
     outputs=gr.Label(),
     description="A simple mlp classification model for image classification using the mnist dataset.")