relative frequency in percentages

app.py

@@ -176,14 +176,25 @@ def plot_emotion_barplot(heatmap_data):
     most_probable_emotions = heatmap_data.idxmax(axis=0)
     emotion_counts = most_probable_emotions.value_counts()
     all_emotions = heatmap_data.index
-    emotion_frequencies = (emotion_counts.reindex(all_emotions, fill_value=0) / emotion_counts.sum()).sort_values(ascending=False)
+    
+    # Convert to percentage, round to integer
+    emotion_frequencies = (emotion_counts.reindex(all_emotions, fill_value=0) / emotion_counts.sum() * 100).round(0)
+    emotion_frequencies = emotion_frequencies.sort_values(ascending=False)
+
     palette = [emotion_colors[emotion] for emotion in emotion_frequencies.index]
+    
     fig, ax = plt.subplots(figsize=(8, 6))
-    sns.barplot(x=emotion_frequencies.values, y=emotion_frequencies.index, palette=palette, ax=ax)
+    bars = sns.barplot(x=emotion_frequencies.values, y=emotion_frequencies.index, palette=palette, ax=ax)
+    
+    # Add % labels on the bars
+    for i, (value, label) in enumerate(zip(emotion_frequencies.values, emotion_frequencies.index)):
+        ax.text(value + 1, i, f"{int(value)}%", va='center')
+
     ax.set_title("Relative Frequencies of Predicted Emotions")
-    ax.set_xlabel("Relative Frequency")
+    ax.set_xlabel("Percentage")
     ax.set_ylabel("Emotions")
     plt.tight_layout()
+    
     return fig
 
 def predict_wrapper(text, language):