Update app.py

app.py

@@ -1,3 +1,36 @@
+# import gradio as gr
+# from PIL import Image
+# import hopsworks
+
+# project = hopsworks.login()
+# fs = project.get_feature_store()
+
+# dataset_api = project.get_dataset_api()
+
+# dataset_api.download("Resources/images/latest_passenger.png")
+# dataset_api.download("Resources/images/actual_passenger.png")
+# dataset_api.download("Resources/images/df_recent.png")
+# dataset_api.download("Resources/images/confusion_matrix.png")
+
+# with gr.Blocks() as demo:
+#    with gr.Row():
+#      with gr.Column():
+#          gr.Label("Today's Predicted Passenger")
+#          input_img = gr.Image("latest_passenger.png", elem_id="predicted-img")
+#      with gr.Column():          
+#          gr.Label("Today's Actual Passenger")
+#          input_img = gr.Image("actual_passenger.png", elem_id="actual-img")        
+#    with gr.Row():
+#      with gr.Column():
+#          gr.Label("Recent Prediction History")
+#          input_img = gr.Image("df_recent.png", elem_id="recent-predictions")
+#      with gr.Column():          
+#          gr.Label("Confusion Maxtrix with Historical Prediction Performance")
+#          input_img = gr.Image("confusion_matrix.png", elem_id="confusion-matrix")        
+
+#demo.launch()
+
+
 import gradio as gr
 from PIL import Image
 import hopsworks
@@ -7,19 +40,19 @@ fs = project.get_feature_store()
 
 dataset_api = project.get_dataset_api()
 
-dataset_api.download("Resources/images/latest_passenger.png")
-dataset_api.download("Resources/images/actual_passenger.png")
+dataset_api.download("Resources/images/latest_iris.png")
+dataset_api.download("Resources/images/actual_iris.png")
 dataset_api.download("Resources/images/df_recent.png")
 dataset_api.download("Resources/images/confusion_matrix.png")
 
 with gr.Blocks() as demo:
     with gr.Row():
       with gr.Column():
-          gr.Label("Today's Predicted Passenger")
-          input_img = gr.Image("latest_passenger.png", elem_id="predicted-img")
+          gr.Label("Today's Predicted Image")
+          input_img = gr.Image("latest_iris.png", elem_id="predicted-img")
       with gr.Column():          
-          gr.Label("Today's Actual Passenger")
-          input_img = gr.Image("actual_passenger.png", elem_id="actual-img")        
+          gr.Label("Today's Actual Image")
+          input_img = gr.Image("actual_iris.png", elem_id="actual-img")        
     with gr.Row():
       with gr.Column():
           gr.Label("Recent Prediction History")