Update app.py

app.py

@@ -16,7 +16,7 @@ def predict_cars(img):
     img_array = preprocess_input(img_array)  # Preprocess the input as expected by ResNet50
     
     prediction = model.predict(img_array)  # Predict using the model
-    classes = ['Golf', 'Serie1', 'Spark']  # Specific car models
+    classes = ['Golf', 'RollsRoyce', 'Spark']  # Specific car models
     return {classes[i]: float(prediction[0][i]) for i in range(3)}  # Return the prediction
 
 # Define Gradio interface
@@ -29,4 +29,3 @@ interface = gr.Interface(fn=predict_cars,
 # Launch the interface
 interface.launch()
 
-#test