diff --git a/thronetalk-game-of-thrones-summarizer/app.py b/thronetalk-game-of-thrones-summarizer/app.py
index 5c48d86..045117c 100644
--- a/thronetalk-game-of-thrones-summarizer/app.py
+++ b/thronetalk-game-of-thrones-summarizer/app.py
@@ -96,8 +96,7 @@ def remove_zeros(lst):
         int(season_to),
         int(to_ep_no)
     )
-    line_chart = vg.sentiment_analysis_visualization(characters) 
-    print(characters)
+    line_chart = vg.sentiment_analysis_visualization(characters)
     chart = alt.Chart(line_chart).transform_fold(
                     characters, as_=["character name", "value"]
                     ).mark_line(
diff --git a/thronetalk-game-of-thrones-summarizer/tests/test_visualization_generator.py b/thronetalk-game-of-thrones-summarizer/tests/test_visualization_generator.py
index 136788b..a18e2cb 100644
--- a/thronetalk-game-of-thrones-summarizer/tests/test_visualization_generator.py
+++ b/thronetalk-game-of-thrones-summarizer/tests/test_visualization_generator.py
@@ -15,7 +15,7 @@ class TestVisualizationGenerator(unittest.TestCase):
     #        side_effect=mock_functions.mocked_read_csv_ouput_dialogues)
     def test_smoke_test(self):
         '''Smoke test for VisualizationGenerator'''
-        top_3_characters = ["eddard 'ned' stark", "catelyn stark", "robert baratheon"]
+        top_3_characters = ["eddard ned stark", "catelyn stark", "robert baratheon"]
         v_g = VisualizationGenerator(1,1,1,3)
         v_g.multi_word_cloud(top_3_characters)
         v_g.sentiment_analysis_visualization(top_3_characters)
diff --git a/thronetalk-game-of-thrones-summarizer/utils/visualization_generator.py b/thronetalk-game-of-thrones-summarizer/utils/visualization_generator.py
index eb15434..7a1a861 100644
--- a/thronetalk-game-of-thrones-summarizer/utils/visualization_generator.py
+++ b/thronetalk-game-of-thrones-summarizer/utils/visualization_generator.py
@@ -120,7 +120,6 @@ def pre_process_data_for_character_per_episode(self, character: str) -> list[str
         data = self.data
         char_episode_wise_arr = []
         character_mask = data[data['Character'].str.upper() == character.upper()]
-        print(self.season_from,self.episode_from,self.season_to,self.episode_to)
         for i in range(self.season_from, self.season_to + 1):
             season_mask_df = character_mask[character_mask['Season'] == "season-0" + str(i)]
             if self.season_from == self.season_to:
@@ -265,10 +264,7 @@ def sentiment_analysis_visualization(self, char_arr: list[str]) -> pd.DataFrame:
                 elif self.season_from < i < self.season_to:
                     episode_wise_desc.append("S"+str(i)+":E"+str(j))
         sentiment_arr.append(episode_wise_desc)
-        print(sentiment_arr)
         sentiment_arr = sentiment_arr + self.get_sentiment(char_arr)
-        print(sentiment_arr)
-
         chart_data = pd.DataFrame(np.asarray(sentiment_arr).transpose(),
                                   columns=['season-episode']+char_arr)
         return chart_data