Update app.py

app.py

@@ -77,13 +77,37 @@ def score_news(parsed_news_df):
 def plot_hourly_sentiment(parsed_and_scored_news, ticker):
     numeric_cols = parsed_and_scored_news.select_dtypes(include=['float64', 'int64'])
     mean_scores = numeric_cols.resample('h').mean()
-    fig = px.bar(mean_scores, x=mean_scores.index, y='sentiment_score', title=f'{ticker} Hourly Sentiment Scores')
+    
+    fig = px.bar(mean_scores, x=mean_scores.index, y='sentiment_score', 
+                 title=f'{ticker} Hourly Sentiment Scores',
+                 color='sentiment_score',
+                 color_continuous_scale=['red', 'yellow', 'green'],
+                 range_color=[-1, 1])
+    
+    fig.update_layout(coloraxis_colorbar=dict(
+        title="Sentiment",
+        tickvals=[-1, 0, 1],
+        ticktext=["Negative", "Neutral", "Positive"],
+    ))
+    
     return fig
 
 def plot_daily_sentiment(parsed_and_scored_news, ticker):
     numeric_cols = parsed_and_scored_news.select_dtypes(include=['float64', 'int64'])
     mean_scores = numeric_cols.resample('D').mean()
-    fig = px.bar(mean_scores, x=mean_scores.index, y='sentiment_score', title=f'{ticker} Daily Sentiment Scores')
+    
+    fig = px.bar(mean_scores, x=mean_scores.index, y='sentiment_score', 
+                 title=f'{ticker} Daily Sentiment Scores',
+                 color='sentiment_score',
+                 color_continuous_scale=['red', 'yellow', 'green'],
+                 range_color=[-1, 1])
+    
+    fig.update_layout(coloraxis_colorbar=dict(
+        title="Sentiment",
+        tickvals=[-1, 0, 1],
+        ticktext=["Negative", "Neutral", "Positive"],
+    ))
+    
     return fig
 
 def get_recommendation(sentiment_scores):