v2

app.py

@@ -37,7 +37,7 @@ def predict(img):
     print(dict(zip(class_names, pred)))
     return dict(zip(class_names, pred))
 
-demo = gr.Interface(
+with gr.Interface(
     fn=predict,
     inputs=[gr.inputs.Image(type="filepath")],
     outputs=gr.outputs.Label(),
@@ -53,6 +53,9 @@ demo = gr.Interface(
         ["./img/skirt.jpg"],
         ["./img/t-shirt.jpg"],
     ],
-    title="Fashion Classification",
-)
-demo.launch(server_name="0.0.0.0", server_port=7860)
+    title="Fashion Classification") as demo:
+    gr.Markdown("# This Demo For Free Machine Learning Zoomcamp", elem_classes=['center'])
+    gr.Markdown("Course github Links [github](https://github.com/DataTalksClub/machine-learning-zoomcamp)",
+      elem_classes=['center', 'small-big'])
+
+    demo.launch(server_name="0.0.0.0", server_port=7860)