Update app.py

app.py

@@ -4,7 +4,7 @@ import numpy as np
 from PIL import Image
 import tensorflow as tf
 
-model = r'./model1_acc96_kera.h5'
+model_path = r'./model1_acc96_kera.h5'
 
 # Function to preprocess the image and make predictions
 def classify_alzheimers_image(input_image):
@@ -16,7 +16,8 @@ def classify_alzheimers_image(input_image):
         input_image_resized = np.expand_dims(input_image_resized, axis=0)
 
         # Making predictions
-        predictions = model.predict(input_image_resized)
+        model_h5 = tf.keras.models.load_model(model_path)
+        predictions = model_h5.predict(input_image_resized)
 
         # Getting the class with the highest probability
         class_idx = np.argmax(predictions)