https://huggingface.co/spaces/Saad123/minimal

app.py

@@ -12,8 +12,6 @@ def model(image):
     im_scaled = image/255
     im_reshape = np.reshape(im_scaled,[1,224,224,3])
     pred = loaded_model.predict(im_reshape)
-    Cat_prob = pred*100
-    Dog_prob = (1-pred)*100
     pred_label = np.argmax(pred)
     if (pred_label == 0):
         return "The Image is of a Dog."
@@ -21,6 +19,8 @@ def model(image):
         return "The Image is of a Cat."
 
 image = gr.inputs.Image(shape=(224,224))
+background='body{background-image:url("https://d2gg9evh47fn9z.cloudfront.net/800px_COLOURBOX35440124.jpg");}'
+title = "Cat & Dog Classifier"
 
-iface = gr.Interface(fn=model, inputs=image, outputs='text')
+iface = gr.Interface(fn=model, inputs=image, outputs='text', css=background, title=title)
 iface.launch(debug=True)