temp

app.py

@@ -2,6 +2,7 @@ import gradio as gr
 from PIL import Image
 import hopsworks
 
+
 project = hopsworks.login()
 fs = project.get_feature_store()
 
@@ -14,18 +15,20 @@ dataset_api.download("Resources/images/confusion_wine_matrix.png")
 
 with gr.Blocks() as demo:
     with gr.Row():
-      with gr.Column():
-          gr.Label("Today's Predicted Image")
-          input_img = gr.Image("latest_wine.png", elem_id="predicted-img")
-      with gr.Column():          
-          gr.Label("Today's Actual Image")
-          input_img = gr.Image("actual_wine.png", elem_id="actual-img")        
+        with gr.Column():
+            gr.Label("Today's Predicted Image")
+            input_img = gr.Image("latest_wine.png", elem_id="predicted-img")
+        with gr.Column():
+            gr.Label("Today's Actual Image")
+            input_img = gr.Image("actual_wine.png", elem_id="actual-img")
     with gr.Row():
-      with gr.Column():
-          gr.Label("Recent Prediction History")
-          input_img = gr.Image("df_wine_recent.png", elem_id="recent-predictions")
-      with gr.Column():          
-          gr.Label("Confusion Maxtrix with Historical Prediction Performance")
-          input_img = gr.Image("confusion_wine_matrix.png", elem_id="confusion-matrix")        
+        with gr.Column():
+            gr.Label("Recent Prediction History")
+            input_img = gr.Image("df_wine_recent.png", elem_id="recent-predictions")
+        with gr.Column():
+            gr.Label("Confusion Maxtrix with Historical Prediction Performance")
+            input_img = gr.Image(
+                "confusion_wine_matrix.png", elem_id="confusion-matrix"
+            )
 
 demo.launch()