Update app.py

app.py

@@ -91,15 +91,15 @@ st.subheader("Sentiment Score Distribution (Past 14 Days)")
 fig4 = px.histogram(df, x='Sentiment Score', nbins=20, title="Sentiment Score Distribution")
 st.plotly_chart(fig4)
 
-# Sentiment heatmap (fixed version)
+# Sentiment heatmap (corrected version)
 st.subheader("Sentiment Heatmap (Past 14 Days)")
 df['Day'] = df['Date'].dt.dayofweek  # Monday=0, Sunday=6
-heatmap_data = df.groupby('Day', as_index=False).agg({'Sentiment Score': 'mean'})
-heatmap_data = heatmap_data.pivot(index='Day', values='Sentiment Score')
+df['Hour'] = np.random.randint(0, 24, len(df))  # Simulating hourly data
+heatmap_data = df.pivot(index='Day', columns='Hour', values='Sentiment Score')
 fig5 = px.imshow(
     heatmap_data, 
     title="Heatmap of Sentiment Over Time", 
-    labels={'x': 'Day of Week', 'y': 'Sentiment Score'}, 
+    labels={'x': 'Hour of Day', 'y': 'Day of Week'}, 
     color_continuous_scale='RdBu'
 )
 st.plotly_chart(fig5)