Update app.py

app.py

@@ -430,6 +430,9 @@ 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_boxstyle("round,pad=0.1,rounding_size=15") # rounded edges
         
         # Add labels inside the bars, aligned to the right
         for bar in bars:
@@ -438,7 +441,11 @@ if recipe_submit and uploaded_image:
                     va='center', ha='right', color='white', fontweight='bold')
 
         ax.set_xticklabels([]) #remove x label
-        
+
+        #no borders
+        for spine in ax.spines.values():
+            spine.set_visible(False)
+            
         st.pyplot(fig) # Display the plot in the Streamlit app
         
     # call openai to pick the best classification result based on query