Update app.py

app.py

@@ -39,9 +39,9 @@ mx.test_utils.download('https://s3.amazonaws.com/onnx-model-zoo/synset.txt')
 with open('synset.txt', 'r') as f:
     labels = [l.rstrip() for l in f]
     
-os.system("wget https://github.com/onnx/models/raw/main/vision/classification/inception_and_googlenet/googlenet/model/googlenet-9.onnx")
+os.system("wget https://github.com/onnx/models/raw/main/vision/classification/zfnet-512/model/zfnet512-12.onnx")
 
-ort_session = ort.InferenceSession("googlenet-9.onnx")
+ort_session = ort.InferenceSession("zfnet512-12.onnx")
 
     
 def predict(path):
@@ -59,8 +59,8 @@ def predict(path):
     return results
        
 
-title="GoogleNet"
-description="GoogLeNet is the name of a convolutional neural network for classification, which competed in the ImageNet Large Scale Visual Recognition Challenge in 2014."
+title="ZFNet-512"
+description="ZFNet-512 is a deep convolutional networks for classification. This model's 4th layer has 512 maps instead of 1024 maps mentioned in the paper."
 
 examples=[['catonnx.jpg']]
 gr.Interface(predict,gr.inputs.Image(type='filepath'),"label",title=title,description=description,examples=examples).launch(enable_queue=True,debug=True)