Update app.py

app.py

@@ -72,28 +72,50 @@ def format_classification_report(labels, preds):
     # Convert the report string to a dictionary
     report_dict = classification_report(labels, preds, output_dict=True)
     
-    # Create an HTML table
+    # Create an HTML table with updated CSS
     html = """
     <style>
+        @media (prefers-color-scheme: dark) {
+            :root {
+                --bg-color: #2d2d2d;
+                --text-color: #e0e0e0;
+                --border-color: #555;
+                --header-bg: #3d3d3d;
+                --row-hover: #3a3a3a;
+                --row-even: #333;
+            }
+        }
+        @media (prefers-color-scheme: light) {
+            :root {
+                --bg-color: #ffffff;
+                --text-color: #333333;
+                --border-color: #ddd;
+                --header-bg: #f2f2f2;
+                --row-hover: #f5f5f5;
+                --row-even: #f9f9f9;
+            }
+        }
         .report-table {
             border-collapse: collapse;
             width: 100%;
             font-family: Arial, sans-serif;
+            background-color: var(--bg-color);
+            color: var(--text-color);
         }
         .report-table th, .report-table td {
-            border: 1px solid #ddd;
+            border: 1px solid var(--border-color);
             padding: 8px;
             text-align: center;
         }
         .report-table th {
-            background-color: #f2f2f2;
+            background-color: var(--header-bg);
             font-weight: bold;
         }
         .report-table tr:nth-child(even) {
-            background-color: #f9f9f9;
+            background-color: var(--row-even);
         }
         .report-table tr:hover {
-            background-color: #f5f5f5;
+            background-color: var(--row-hover);
         }
     </style>
     <table class="report-table">
@@ -143,7 +165,7 @@ def format_classification_report(labels, preds):
     """
     
     return html
-
+    
 def evaluate_model(labels, preds):
     cm = confusion_matrix(labels, preds)
     accuracy = accuracy_score(labels, preds)