Update app.py

app.py

@@ -117,7 +117,6 @@ def cluster_data(df, num_clusters):
 
     return df, kmeans
 
-
 def generate_wordcloud(df):
     text = " ".join(df['texts'].tolist())
     stopwords = set(STOPWORDS)
@@ -153,6 +152,7 @@ def generate_bar_chart(df, num_clusters_to_display):
     
     category_top_words = df_top_categories.groupby('Category', observed=False)['texts'].apply(lambda x: ' '.join(x)).reset_index()
     category_top_words['top_word'] = category_top_words['texts'].apply(lambda x: ' '.join([word for word in pd.Series(x.split()).value_counts().index if word not in common_words][:3]))
+    
     category_sizes = df_top_categories['Category'].value_counts().reset_index()
     category_sizes.columns = ['Category', 'Count']
     category_sizes = category_sizes.merge(category_top_words[['Category', 'top_word']], on='Category')
@@ -175,7 +175,6 @@ def main(file, num_clusters_to_display):
         
         df = preprocess_data(df)
         
-
         wordcloud_img = generate_wordcloud(df)
         bar_chart_img = generate_bar_chart(df, num_clusters_to_display)
 
@@ -200,7 +199,7 @@ interface = gr.Interface(
         gr.Image(label="Bar Chart")
     ],
     title="Unanswered User Queries Categorization",
-    description="Categorize unanswered user queries into predefined categories"
+    description="Categorize Unanswered User Queries"
 )
 
 interface.launch(share=True)