Update app.py

app.py

@@ -429,20 +429,23 @@ if recipe_submit and uploaded_image:
         norm = plt.Normalize(min(confidences), max(confidences))
         cmap = LinearSegmentedColormap.from_list("grey_orange", ["#808080", "#FFA500"]) #color map grey to orange
         
-        fig, ax = plt.subplots(figsize=(10, 6))
+        fig, ax = plt.subplots(figsize=(12, 6))
         bars = ax.barh(class_names, confidences, color=cmap(norm(confidences)))
 
         fig.patch.set_alpha(0)  # Transparent background
         ax.set_facecolor('none') 
-        
+
+        min_width = 0.07 * ax.get_xlim()[1]  # 7% of the x-axis range
         # Add labels inside the bars, aligned to the right
         for bar in bars:
             width = bar.get_width()
+            if width < min_width:
+                width = min_width
             ax.text(width - 0.02, bar.get_y() + bar.get_height()/2, f'{width:.2f}%', 
-                    va='center', ha='right', color='white', fontweight='bold')
+                    va='center', ha='right', color='white', fontweight='bold', fontsize=14)
 
         ax.set_xticklabels([]) #remove x label
-        ax.tick_params(axis='y', colors='white')
+        ax.tick_params(axis='y', colors='white', labelsize=14)
         
         #no borders
         for spine in ax.spines.values():