Update app.py

app.py

@@ -92,7 +92,7 @@ def fetch_and_plot_average_rating_by_genre(conn):
 
     fig = px.box(df, x='first_genre', y='averageRating',
                  labels={'first_genre': 'Genre', 'averageRating': 'Average Rating'},
-                 title='Average Rating of Movies by First Genre',
+                 title='Average Rating of Movies by Genre',
                  color='first_genre',  
                  color_discrete_map=genre_color_map)
     return fig
@@ -141,7 +141,7 @@ def find_best_movies_by_genre(conn):
 
 def plot_stacked_genre_movie_releases(genre_counts):
     fig = px.area(genre_counts, x='startYear', y='count', color='genres',
-                  title='Stacked Genre Movie Releases by Year',
+                  title=' Movie Releases by Year',
                   labels={'startYear': 'Year', 'count': 'Number of Movies', 'genres': 'Genre'},
                   line_group='genres',  # This groups lines by genre
                   hover_name='genres',  # This sets the genre as the hover label
@@ -264,7 +264,7 @@ def plot_global_map(conn):
     color='most_common_genre',
     hover_name='region',
     hover_data={'region': False, 'most_common_genre': True},
-    title='Most Common Movie Genre by Country',
+    title='Most Popular Genre around the world',
     color_discrete_map=genre_color_map,
     )
 
@@ -315,15 +315,15 @@ def run_app():
 
     with col1:
         st.subheader('Total Movies')
-        st.metric(label='zzz', value=total_movies)
+        st.metric(label='', value=total_movies)
 
     with col2:
         st.subheader('Total Years of Movie Data')
-        st.metric(label='zzz', value=total_years)
+        st.metric(label='', value=total_years)
 
     with col3:
         st.subheader('Average Movie Rating')
-        st.metric(label='zzz', value=f'{avg_rating:.2f}')
+        st.metric(label='', value=f'{avg_rating:.2f}')
 
     # Find and display best movies by genre
     best_movies_by_genre = find_best_movies_by_genre(conn)