Update app.py

app.py

@@ -48,9 +48,12 @@ classes = ['Colon Adenocarcinoma', 'Colon Benign Tissue', 'Lung Adenocarcinoma',
 def predict(img):
     # Resize and preprocess the image
     img = img.resize((224, 224))
-    img_array = image.img_to_array(img)
-    img_array = np.expand_dims(img_array, axis=0)
-    img_array = img_array / 255.0  # Normalize the image
+    # img_array = image.img_to_array(img)
+    # img_array = np.expand_dims(img_array, axis=0)
+    # img_array = img_array / 255.0  # Normalize the image
+    # img = image.resize((224,224))
+    img_array = tf.keras.preprocessing.image.img_to_array(img)
+    img_array = tf.expand_dims(img_array, 0)
 
     # Make predictions
     predictions = model.predict(img_array)