Update app.py

app.py

@@ -60,7 +60,6 @@ st.image('final_NETWORK.png')
 
 #
 df_동대문구_베트남_맛집_2 = pd.read_excel('vietnam_food_dongdaemun_BLOGS.xlsx', index_col=0)
-#st.write('Again, the list of blog posts on Dongdaemun Vietnamese Restaurant', df_동대문구_베트남_맛집_2)
 
 # 검색어 입력 받아 출력
 query = st.text_input('음식 이름, 식당 이름 등의 검색어를 입력하세요.', key='region1_input')
@@ -88,13 +87,12 @@ st.title('한국 내 "베트남 음식" 월별 트렌드 데이터 (2022년 vs 2
 def process_and_display_data(df, source_name):
     if not df.empty:
         if 'Date' in df.columns:
-            # For Naver data, pivot the table
+            
             df['Date'] = pd.to_datetime(df['Date'])
             df['Month'] = df['Date'].dt.month
             df['Year'] = df['Date'].dt.year
             df = df.pivot(index='Year', columns='Month', values='Value')
         
-        # Ensure that index is properly set as integer for years
         df.index = df.index.astype(int)
 
         # Convert month numbers to month names
@@ -109,7 +107,7 @@ def process_and_display_data(df, source_name):
 
         st.write(f'Number of searches for each month ({source_name}):')
         
-        # Create a seaborn heatmap for better visualization
+        # Create a seaborn heatmap for better visualization since matplot gradient wasn't working
         plt.figure(figsize=(12, 4))
         sns.heatmap(df, annot=True, fmt=".1f", cmap="Oranges", linewidths=.5, cbar_kws={'label': 'Number of Searches'})
         plt.title(f'Monthly {source_name} Trends Data for 베트남 음식 in South Korea (2022 vs 2023)', fontsize=22, fontproperties=fm.FontProperties(fname=font_path))