Update app.py

app.py

@@ -9,6 +9,7 @@ import io
 app = Flask(__name__)
 
 # Load the trained model
+model = tf.keras.models.load_model('./save_model.h5',compile=False)
 
 
 @app.route('/')
@@ -36,7 +37,7 @@ def detect_pothole(id):
         print('Image data:', image)
 
         # Make predictions
-        result = 2#model.predict(image)
+        result = model.predict(image)
 
         # Convert the prediction to a label
         if result[0][0] == 1: