Update app.py

app.py

@@ -18,7 +18,7 @@ from PIL import Image
 
 # This loads the tflite model file from the current directory
 # Interpreter is the ai_edge_litert equivalent of tf.lite.Interpreter
-interpreter = Interpreter(model_path="best_gatekeeper_v2.py")
+interpreter = Interpreter(model_path="best_gatekeeper_v2.pth")
 
 # This allocates memory for the model's input and output tensors
 # You must always call this before running inference