Update app.py

app.py

@@ -408,7 +408,7 @@ if recipe_submit and uploaded_image:
         fpredictions = ""
         class_names = []
         confidences = []
-        MIN_CONFIDENCE = 5 # 5%
+        MIN_CONFIDENCE = 7 # 7%
         
         # Show the top predictions with percentages
         # st.write("Top Predictions:")
@@ -430,7 +430,7 @@ 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=(8, 6))
+        fig, ax = plt.subplots(figsize=(10, 6))
         bars = ax.barh(class_names, confidences, color=cmap(norm(confidences)))
 
         fig.patch.set_alpha(0)  # Transparent background
@@ -449,7 +449,7 @@ if recipe_submit and uploaded_image:
         for spine in ax.spines.values():
             spine.set_visible(False)
 
-        ax.set_title(class_names[0], color='white', fontsize=16, fontweight='bold', ha='center')
+        ax.set_title(class_names[-1], color='white', fontsize=16, fontweight='bold', ha='center')
         
         st.pyplot(fig) # Display the plot