Update app.py

app.py

@@ -6,10 +6,12 @@ sns.set_palette("pastel")
 sns.set_style("darkgrid")
 import re
 
+
 # import unicodedata
 # plt.rcParams['font.family'] = 'DejaVu Sans'
-plt.rcParams['font.family'] = 'Segoe UI Emoji'
-plt.rcParams['font.family'] = 'Twemoji'
+# plt.rcParams['font.family'] = 'Segoe UI Emoji'
+# plt.rcParams['font.family'] = 'Noto Sans Devanagari'
+# plt.rcParams['font.family'] = 'Twemoji'
 from wordcloud import WordCloud
 
 
@@ -57,19 +59,6 @@ if uploaded_file is not None:
     data = bytes_data.decode('utf-8')
     df = preprocess.preprocess(data)
     st.dataframe(df)
-    # df['extracted_value'] = df['sender'].apply(lambda x: re.findall(r'^(.*):.*added you', x)[0] if re.findall(r'added you', x) else '')
-
-    # Remove rows with empty 'extracted_value'
-    # df = df[df['extracted_value'] != '']
-    # print(df['extracted_value'])
-    # df.drop(df[df['extracted_value'] == ''].index, inplace=True)
-
-# Reset the index if needed
-    # df.reset_index(drop=True, inplace=True)
-
-
-# Reset the index if needed
-    # df.reset_index(drop=True, inplace=True)
 
     user_list = df['sender'].unique().tolist()
     # user_list.remove('Haldi Mehendi -Dance prep')
@@ -145,26 +134,7 @@ if uploaded_file is not None:
         # print(x)
         x = x[1:]
         # print(x)['First'][0]
-        # print('This')
-
-        # first_row_element = x.iloc[0, 0]
-
-# Check if the element is an empty string or "nothing"
-        # if not first_row_element:
-            # print("The element is empty or represents 'nothing'")
-        # else:
-    # Get the Unicode code point value
-            # code_point = ord(first_row_element)
-    # Get the character name using Unicode code point
-            # char_name = unicodedata.name(first_row_element)
-
-            # print(f"The element represents the character '{first_row_element}'")
-            # print(f"Unicode code point: {code_point}")
-            # print(f"Character name: {char_name}")
-
 
-        # print(x.iloc[0, 0])
-        # x = x.iloc[4:, :]
         fig, ax = plt.subplots()
 
         col1 = st.columns(1)[0]