Update app.py

app.py

@@ -9,6 +9,12 @@ model = torch.hub.load('pytorch/vision:v0.6.0', 'resnet18', pretrained=True).eva
 response = requests.get("https://git.io/JJkYN")
 labels = response.text.split("\n")
 
+title = "Image Classifier Two -- PyTorch Resnet-18"
+description = """This machine has vision. It can see objects and concepts in an image. To test the machine, upload or drop an image, submit and read the results. The results comprise a list of words that the machine sees in the image. Beside a word, the length of the bar indicates the confidence with which the machine sees the word. The longer the bar, the more confident the machine is.
+"""
+article = "This app was made by following [this Gradio guide](https://gradio.app/image_classification_in_pytorch/)."
+
+
 def predict(inp):
   inp = transforms.ToTensor()(inp).unsqueeze(0)
   with torch.no_grad():
@@ -16,4 +22,9 @@ def predict(inp):
     confidences = {labels[i]: float(prediction[i]) for i in range(1000)}
   return confidences
   
-gr.Interface(fn=predict, inputs = gr.inputs.Image(type="pil"), outputs = gr.outputs.Label(num_top_classes=5)).launch()
+gr.Interface(fn=predict, 
+             inputs = gr.inputs.Image(type="pil"), 
+             outputs = gr.outputs.Label(num_top_classes=5),
+             title = title, 
+             description = description, 
+             article = article).launch()