Update app.py

app.py

@@ -1,36 +1,3 @@
-# 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
@@ -40,19 +7,19 @@ fs = project.get_feature_store()
 
 dataset_api = project.get_dataset_api()
 
-dataset_api.download("Resources/images/latest_iris.png")
-dataset_api.download("Resources/images/actual_iris.png")
+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 Image")
-          input_img = gr.Image("latest_iris.png", elem_id="predicted-img")
+          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 Image")
-          input_img = gr.Image("actual_iris.png", elem_id="actual-img")        
+          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")
@@ -62,3 +29,4 @@ with gr.Blocks() as demo:
           input_img = gr.Image("confusion_matrix.png", elem_id="confusion-matrix")        
 
 demo.launch()
+