Update app.py

app.py

@@ -4,7 +4,7 @@ from PIL import Image
 import numpy as np
 
 # Load your custom regression model
-model_path = "pokemon_model_transferlearning.keras"
+model_path = "pokemon_model_tl.keras"
 model = tf.keras.models.load_model(model_path)
 
 labels = ['Wartortle', 'Weedle', 'Weepinbell', 'Weezing']
@@ -13,7 +13,7 @@ labels = ['Wartortle', 'Weedle', 'Weepinbell', 'Weezing']
 def predict_regression(image):
     # Preprocess image
     image = Image.fromarray(image.astype('uint8'))  # Convert numpy array to PIL image
-    image = image.resize((28, 28)).convert('L') #resize the image to 28x28 and converts it to gray scale
+    image = image.resize((150, 140)).convert('RGB') #resize the image to 28x28 and converts it to gray scale
     image = np.array(image)
     print(image.shape)
     # Predict