Update app.py

app.py

@@ -57,7 +57,7 @@ def load_image(image_url, image_size=256, dynamic_size=False, max_dynamic_size=5
 image_size = 224
 dynamic_size = False
 
-model_name = "mobilenet_v3_large_075_224" 
+model_name = "inception_v3" 
 
 model_handle_map = {
   "efficientnetv2-s": "https://tfhub.dev/google/imagenet/efficientnet_v2_imagenet1k_s/classification/2",
@@ -215,8 +215,8 @@ def inference(img):
     result[classes[class_index]] = probabilities[0][top_5][i].item()
   return result
 
-title="mobilenet_v3_large_075_224"
-description="Gradio Demo for mobilenet_v3_large_075_224: Imagenet (ILSVRC-2012-CLS) classification with MobileNet V3 large (depth multiplier 0.75). To use it, simply upload your image or click on one of the examples to load them. Read more at the links below"
+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>"
 examples=[['apple1.jpg']]
 gr.Interface(inference,gr.inputs.Image(type="filepath"),"label",title=title,description=description,article=article,examples=examples).launch(enable_queue=True)