added the spotify logo

app.py

@@ -1,26 +1,36 @@
+import os
 import streamlit as st
 import pandas as pd
 from models.data_processor import load_data
-from functions.visualizations import generate_popularity_trends, generate_audio_features, generate_genre_analysis, \
-    generate_explicit_trends, generate_album_insights, generate_tempo_mood, generate_top_artists_songs, \
-    generate_album_release_trends, generate_duration_analysis, generate_streaming_insights, \
-    generate_feature_comparisons, generate_network_analysis
+from functions.visualizations import (
+    generate_popularity_trends, generate_audio_features, generate_genre_analysis,
+    generate_explicit_trends, generate_album_insights, generate_tempo_mood,
+    generate_top_artists_songs, generate_album_release_trends, generate_duration_analysis,
+    generate_streaming_insights, generate_feature_comparisons, generate_network_analysis
+)
 
+# Load Data
 df = load_data()
-if not df.empty:
-    st.write("**Raw Data Sample:**", df.head())
-else:
-    st.error("Failed to load raw data. Check the 'data/music_data.csv' file.")
 
+# Sidebar - Add Spotify Logo from Local File
+logo_path = "assests/spotify-logo.png"  # Adjust this if needed
+if os.path.exists(logo_path):
+    st.sidebar.image(logo_path, use_column_width=True)
+
+# Sidebar - Title & Filters
 st.sidebar.title("Music Data Analysis")
-# st.sidebar.markdown(
-# "[View Raw Data](https://drive.google.com/uc?export=download&id=YOUR_FILE_ID_HERE)", unsafe_allow_html=True)
+st.sidebar.markdown("[View Raw Data](data/music_data.csv)",
+                    unsafe_allow_html=True)
+
 analysis_option = st.sidebar.selectbox(
     "Choose Analysis",
-    ["Popularity Trends Over Time", "Audio Features Analysis", "Genre & Artist Analysis", "Explicit Content Trends",
-     "Album & Label Insights", "Tempo & Mood Analysis", "Top Artists and Songs", "Album Release Trends",
-     "Track Duration Analysis", "Streaming and Engagement Insights", "Feature Comparisons Across Decades",
-     "Network Analysis"]
+    [
+        "Popularity Trends Over Time", "Audio Features Analysis", "Genre & Artist Analysis",
+        "Explicit Content Trends", "Album & Label Insights", "Tempo & Mood Analysis",
+        "Top Artists and Songs", "Album Release Trends", "Track Duration Analysis",
+        "Streaming and Engagement Insights", "Feature Comparisons Across Decades",
+        "Network Analysis"
+    ]
 )
 
 st.sidebar.subheader("Filters")
@@ -33,10 +43,17 @@ else:
         "No data loaded or 'Decade' column missing. Check the 'data' folder.")
     filtered_df = pd.DataFrame()
 
-# st.image("assets/spotify-logo.png", width=100)
+# Main Content
 st.title("Music Data Analysis Dashboard")
 st.markdown("Explore trends and insights from a diverse music dataset.")
 
+if not df.empty:
+    st.write("### Raw Data Sample")
+    st.dataframe(df.head())
+else:
+    st.error("Failed to load raw data. Check the 'data/music_data.csv' file.")
+
+# Call Analysis Functions Based on Selection
 if analysis_option == "Popularity Trends Over Time":
     generate_popularity_trends(filtered_df)
 elif analysis_option == "Audio Features Analysis":
@@ -61,5 +78,3 @@ elif analysis_option == "Feature Comparisons Across Decades":
     generate_feature_comparisons(filtered_df)
 elif analysis_option == "Network Analysis":
     generate_network_analysis(filtered_df)
-
-# st.sidebar.markdown("Built with Streamlit by Grok 3 (xAI)")

models/data_processor.py

@@ -4,7 +4,7 @@ import streamlit as st
 def load_data():
     try:
         df = pd.read_csv('data/music_data.csv', on_bad_lines='skip')
-        st.write("**Raw Data Sample:**", df.head())  # Display raw data
+        st.write("**Raw Data Sample:**", df.head())
     except FileNotFoundError:
         st.error("Error: 'data/music_data.csv' not found. Please ensure the file exists.")
         return pd.DataFrame()