last commit

app.py

@@ -4,7 +4,7 @@ import hopsworks
 project = hopsworks.login(project="DD2223_lab1")
 fs = project.get_feature_store()
 
-dataset_api = project.get_dataset_api()
+dataset_api = project.get_dataset_api() 
 
 dataset_api.download("Resources/images/latest_wine.txt")
 dataset_api.download("Resources/images/actual_wine.txt")
@@ -19,18 +19,18 @@ def read_text_file(file_path):
 
 with gr.Blocks() as demo:
     with gr.Row():
-        with gr.Column():
-            gr.Label("Today's Predicted Wine Quality")
-            predicted_text = gr.Text(read_text_file("latest_wine.txt"), elem_id="recent-text-predicted")
-        with gr.Column():
-            gr.Label("Today's Actual Wine Quality")
-            actual_text = gr.Text(read_text_file("actual_wine.txt"), elem_id="recent-text-actual")
+      with gr.Column():
+          gr.Label("Today's Predicted Wine Quality")
+          input = gr.Text(read_text_file("latest_wine.txt"), elem_id="recent-text")
+      with gr.Column():          
+          gr.Label("Today's Actual Wine Quality")
+          input = gr.Text(read_text_file("actual_wine.txt"), elem_id="recent-text")      
     with gr.Row():
-        with gr.Column():
-            gr.Label("Recent Prediction History")
-            recent_predictions_img = gr.Image("df_recent.png", elem_id="recent-predictions")
-        with gr.Column():
-            gr.Label("Confusion Matrix with Historical Prediction Performance")
-            confusion_matrix_img = gr.Image("confusion_matrix.png", elem_id="confusion-matrix")
+      with gr.Column():
+          gr.Label("Recent Prediction History")
+          input = 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()