Update app.py

app.py

@@ -21,7 +21,8 @@ Here is sample code for an Image Classification pipeline with the ResNet model.
 from deepsparse import Pipeline
 pipeline = Pipeline.create(task="image_classification", 
 model_path="zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none")
-inference = pipeline(image)
+input_image = "my_image.png" # path to input image
+inference = pipeline(input_image)
 print(inference)
 ```
 ## Use Case Description