Update app.py

app.py

@@ -215,8 +215,8 @@ def inference(img):
     result[classes[class_index]] = probabilities[0][top_5][i].item()
   return result
 
-title="inception_v3"
-description="Gradio Demo for inception_v3: [TF2] Imagenet (ILSVRC-2012-CLS) classification with Inception V3. To use it, simply upload your image or click on one of the examples to load them. Read more at the links below"
-article = "<p style='text-align: center'><a href='https://tfhub.dev/google/imagenet/mobilenet_v3_large_075_224/classification/5' target='_blank'>Tensorflow Hub</a></p>"
+title="mobilenet_v2_100_224"
+description="Gradio Demo for mobilenet_v2_100_224: Imagenet (ILSVRC-2012-CLS) classification with MobileNet V2 (depth multiplier 1.00). To use it, simply upload your image or click on one of the examples to load them. Read more at the links below"
+article = "<p style='text-align: center'><a href='https://tfhub.dev/google/imagenet/mobilenet_v2_100_224/classification/5' target='_blank'>Tensorflow Hub</a></p>"
 examples=[['apple1.jpg']]
 gr.Interface(inference,gr.inputs.Image(type="filepath"),"label",title=title,description=description,article=article,examples=examples).launch(enable_queue=True)