Update app.py

app.py

@@ -105,16 +105,13 @@ class EuroSATClassifier:
             return None, None, error_msg
     
     def create_confidence_plot(self, results):
-        """Create a confidence plot using Plotly"""
+        """Create a clean confidence plot using Plotly"""
         classes = list(results.keys())
         confidences = [results[cls] * 100 for cls in classes]
-        
-        colors = [
-            '#2E8B57' if i == 0 else f'rgba(70, 130, 180, {max(0.2, 0.8 - (i / len(classes)))})'
-            for i in range(len(classes))
-        ]
-
-        
+    
+        # Use consistent solid colors (green for top, blue for others)
+        colors = ['#2E8B57' if i == 0 else '#4682B4' for i in range(len(classes))]
+    
         fig = go.Figure(data=[
             go.Bar(
                 x=confidences,
@@ -126,35 +123,31 @@ class EuroSATClassifier:
                 textfont=dict(color='white', size=12),
             )
         ])
-        
+
         fig.update_layout(
-            title={
-                'text': "🎯 Classification Confidence Scores",
-                'x': 0.5,
-                'xanchor': 'center',
-                'font': {'size': 16, 'color': '#2C3E50'}
-            },
+            title="🎯 Classification Confidence Scores",
             xaxis_title="Confidence (%)",
             yaxis_title="Land Cover Classes",
             height=500,
-            margin=dict(l=10, r=10, t=50, b=10),
-            plot_bgcolor='rgba(248, 249, 250, 0.8)',
+            margin=dict(l=10, r=10, t=40, b=10),
+            plot_bgcolor='white',
             paper_bgcolor='white',
-            font=dict(family="Arial, sans-serif", size=12, color="#2C3E50"),
+            font=dict(family="Arial", size=12, color="#333"),
             xaxis=dict(
-                gridcolor='rgba(128, 128, 128, 0.2)',
+                gridcolor='rgba(0,0,0,0.05)',
                 showgrid=True,
                 range=[0, 100]
             ),
             yaxis=dict(
-                gridcolor='rgba(128, 128, 128, 0.2)',
+                gridcolor='rgba(0,0,0,0.05)',
                 showgrid=True,
-                autorange="reversed"  # Show highest confidence at top
+                autorange="reversed"
             )
         )
-        
+    
         return fig
 
+
 # Initialize the classifier
 classifier = EuroSATClassifier()