Update app.py

app.py

@@ -215,7 +215,7 @@ def inference(img):
     result[classes[class_index]] = probabilities[0][top_5][i].item()
   return result
 
-title="efficientnet_v2_imagenet1k_b0"
+title="Image Classification"
 description="Gradio Demo on Imagenet (ILSVRC-2012-CLS) classification with EfficientNet V2. To use it, simply upload your image or click on one of the examples to load them."
 article = "<p style='text-align: center'><a href='https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet1k_b0/classification/2' target='_blank'>Tensorflow Hub</a></p>"
 examples=[['Elephant.jpeg']]