Update app.py

app.py

@@ -65,4 +65,7 @@ def inference(img):
       resultdic[labels[str(r)]] = float(results[0][r])
   return resultdic
   
-gr.Interface(inference,gr.inputs.Image(type="filepath"),"label").launch()
+title="EfficientNet-Lite4"
+description="EfficientNet-Lite 4 is the largest variant and most accurate of the set of EfficientNet-Lite model. It is an integer-only quantized model that produces the highest accuracy of all of the EfficientNet models. It achieves 80.4% ImageNet top-1 accuracy, while still running in real-time (e.g. 30ms/image) on a Pixel 4 CPU."
+
+gr.Interface(inference,gr.inputs.Image(type="filepath"),"label",title=title,description=description).launch()