making it simpler

app.py

@@ -105,11 +105,9 @@ def plot_emotion_barplot(heatmap_data):
     emotion_frequencies = (emotion_counts.reindex(all_emotions, fill_value=0) / emotion_counts.sum()).sort_values(ascending=False)
     fig, ax = plt.subplots(figsize=(8, 6))
     sns.barplot(x=emotion_frequencies.values, y=emotion_frequencies.index, palette="coolwarm", ax=ax)
-    ax.set_title("Relative Frequencies of Most Probable Emotions")
+    ax.set_title("Relative Frequencies of Predicted Emotions")
     ax.set_xlabel("Relative Frequency")
     ax.set_ylabel("Emotions")
-    for i, value in enumerate(emotion_frequencies.values):
-        ax.text(value + 0.01, i, f"{value:.2f}", va='center')
     plt.tight_layout()
     return fig