updated to keras 3

app.py

@@ -6,7 +6,7 @@ from tensorflow import keras
 
 # load the pre-trained model from the appropriate file path
 def predict_plant(path):
-    model = tf.keras.models.load_model('my_model/')
+    model = tf.keras.models.load_model('leaf_model.keras')
 
     # redefine values from the model
     img_height = img_width = 180
@@ -27,7 +27,7 @@ def predict_plant(path):
 
     # find the confidence probability for each plant
     predictions = model.predict(img_array)
-    score = tf.nn.softmax(predictions[0])
+    score = tf.nn.softmax(predictions['outputs'][0])
     confidences = {class_names[i]: float(score[i]) for i in range(len(class_names))}
     return confidences