Update app.py

app.py

@@ -19,7 +19,8 @@ SparseZoo contains models that have been pruned and quantized. They are, therefo
 Here is sample code for an Image Classification pipeline with the ResNet model.
 ```python
 from deepsparse import Pipeline
-pipeline = Pipeline.create(task="image_classification", model_path="zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none")
+pipeline = Pipeline.create(task="image_classification", 
+model_path="zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none")
 inference = pipeline(image)
 print(inference)
 ```
@@ -64,7 +65,7 @@ with gr.Blocks() as demo:
             """)
             image = gr.Image(type="pil",shape=(224, 224))
             btn = gr.Button("Classify Image")
-            sparse_answers = gr.Textbox(label="Sparse model answers",
+            sparse_answers = gr.Label(label="Sparse model answers",
                                       num_top_classes=2
                                      )
             sparse_duration = gr.Number(label="Sparse Latency (ms):")