Update app.py

app.py

@@ -410,8 +410,7 @@ if recipe_submit and uploaded_image:
         fpredictions = ""
         class_names = []
         confidences = []
-        MIN_CONFIDENCE = 0.05 
-    
+        
         # Show the top predictions with percentages
         st.write("Top Predictions:")
         for class_name, confidence in predictions:
@@ -420,7 +419,7 @@ if recipe_submit and uploaded_image:
             class_name = class_name.title()
             st.markdown(f"*{class_name}*: {confidence:.2f}%")
             class_names.append(class_name)
-            confidences.append(confidence if confidence > MIN_CONFIDENCE else MIN_CONFIDENCE) # minimum length of the bar (5%), 
+            confidences.append(confidence)
 
         print(fpredictions)
 
@@ -435,7 +434,8 @@ if recipe_submit and uploaded_image:
         fig, ax = plt.subplots(figsize=(8, 6))
         bars = ax.barh(class_names, confidences, color=cmap(norm(confidences)))
 
-        fig.patch.set_alpha(0.2)  # Transparent background
+        fig.patch.set_alpha(0)  # Transparent background
+        ax.set_facecolor('none') 
         
         # Add labels inside the bars, aligned to the right
         for bar in bars:
@@ -444,7 +444,9 @@ if recipe_submit and uploaded_image:
                     va='center', ha='right', color='white', fontweight='bold')
 
         ax.set_xticklabels([]) #remove x label
-
+        
+        ax.tick_params(axis='y', colors='white') # Set y label color to white
+        
         #no borders
         for spine in ax.spines.values():
             spine.set_visible(False)