Update app.py

app.py

@@ -39,11 +39,11 @@ def generate_graphs(new_story):
 
     # Retrieve the LikesCount for the top 5 most similar stories
     likes_distribution = encoded_df.iloc[top_5_indices]['likesCount'].values
-    sorted_likes_distribution = sorted(likes_distribution, reverse=True)
+    # sorted_likes_distribution = sorted(likes_distribution, reverse=True)
     
     # Create a bar graph for the distribution of the 5 most similar stories
     plt.figure(figsize=(10, 6))
-    sns.barplot(x=[f"Story {i+1}" for i in range(5)], y=sorted_likes_distribution, palette="viridis")
+    sns.barplot(x=[f"Story {i+1}" for i in range(5)], y=likes_distribution, palette="viridis")
     plt.title("LikesCount Distribution for the 5 Most Similar Stories", fontsize=14)
     plt.xlabel("Story Similarity (Most Similar to Least)", fontsize=12)
     plt.ylabel("LikesCount", fontsize=12)