Update app.py

app.py

@@ -24,15 +24,15 @@ def classify_image(image):
   return {labels[i]: float(prediction[i]) for i in range(100)} 
   
 image = gr.inputs.Image()
-label = gr.outputs.Label(num_top_classes=3)
+label = gr.outputs.Label(num_top_classes=5)
 
 iface = gr.Interface(classify_image,image,label,
 	#outputs=[
 	#        gr.outputs.Textbox(label="Engine issue"),
        	#	gr.outputs.Textbox(label="Engine issue score")], 
 	examples=["dog4.png","airplane4.png"],
-	#, title="Classification of Ford Motor data",
-#	description = "Model for predicting issues in Ford engines.",
+	, title="Image classification on CIFAR-00ta",
+	description = "Model for predicting issues in Ford engines.",
         article = "Author: <a href=\"https://huggingface.co/joheras\">Jónathan Heras</a>"
 #	examples = ["sample.csv"],
 )