Update app.py

app.py

@@ -233,7 +233,7 @@ def get_picture_from_url(url):
         return None
 
 def get_top_category():
-    topCategory = pd.read_csv(r'C:\Users\LEGION\Desktop\MMU\Data Science Fundamental\Project\Prediction of Video\topCategory.csv')
+    topCategory = pd.read_csv('topCategory.csv')
     # Sort the DataFrame in ascending order based on predicted_prob column
     topCategory_sorted = topCategory.sort_values('predicted_prob')
 
@@ -270,7 +270,7 @@ def show_best_category():
         st.write(f"<span style='color:{color};font-weight:bold;'>{category_id}</span>", unsafe_allow_html=True)
 
 def get_top_duration():
-    topDurationsorted = pd.read_csv(r'C:\Users\LEGION\Desktop\MMU\Data Science Fundamental\Project\Prediction of Video\topDuration.csv')
+    topDurationsorted = pd.read_csv('topDuration.csv')
     topDurationsorted = topDurationsorted.sort_values('predicted_prob', ascending=False)
     return topDurationsorted
 
@@ -299,7 +299,7 @@ def show_best_duration():
         st.write(f"<span style='color:{color};font-weight:bold;'>{range}</span>", unsafe_allow_html=True)
 
 def get_top_title():
-    topTitle = pd.read_csv(r'C:\Users\LEGION\Desktop\MMU\Data Science Fundamental\Project\Prediction of Video\topTitle.csv')
+    topTitle = pd.read_csv('topTitle.csv')
     # Sort the DataFrame in ascending order based on predicted_prob column
     topTitle_sorted = topTitle.sort_values('Importance Score', ascending=False)
     return topTitle_sorted
@@ -330,7 +330,7 @@ def round_interval(interval_str):
     return f"({int(start)}, {int(end)})"
 
 def get_top_titleLength():
-    topTitleLength = pd.read_csv(r'C:\Users\LEGION\Desktop\MMU\Data Science Fundamental\Project\Prediction of Video\topTitleLength.csv')
+    topTitleLength = pd.read_csv('topTitleLength.csv')
     title_length_ranges = topTitleLength['titleLength']
     predicted_probs = topTitleLength['predicted_prob']
     rounded_ranges = [round_interval(range_val) for range_val in title_length_ranges]