Update app.py

app.py

@@ -260,7 +260,7 @@ with market_analysis:
 
 with news_analysis:
     st.header("News Analysis")
-    st.write("This module provides news impact for the following day based on the current date.")
+    st.write("This module provides news based event impact for the following day based on the current date.")
     
     # Load data
     data_file_path = r"Events_SameDay.csv"  # Update this with your file path
@@ -293,7 +293,7 @@ with news_analysis:
         # hoverlabel=dict(font=dict(color=events
         # ['FeatureSentiment'].apply(lambda x: 'red' if x == 'Negative' else 'blue' if x == 'Neutral' else 'green'))),  # Customize the line style, color, and width
     )
-    title = 'OGDCL Close Price w.r.t. News Impacts'
+    title = 'OGDCL Close Price vs News Impact'
     layout = go.Layout(
         title=title,
         xaxis=dict(
@@ -304,7 +304,7 @@ with news_analysis:
             # tickvals=list(range(dateA, dateB, 3)),
         ),
         yaxis=dict(
-            title='OGDCL Close Price',
+            title='Price in Rs.',
             # gridcolor='lightgray',
             range=[90, 120],
             tickvals=list(range(90, 120, 5)),
@@ -314,10 +314,10 @@ with news_analysis:
     # Add all traces to the figure
     figure = go.Figure(data=[line_stock], layout=layout)
     figure.add_scatter(x=plot_sub_pos['Date'], y=plot_sub_pos['Price'], mode='markers', 
-        marker=dict(symbol='triangle-up', size=10, color=cs.pos_impacts_color), name='Strong buy', 
+        marker=dict(symbol='triangle-up', size=10, color=cs.pos_impacts_color), name='Positive Impact', 
         customdata=events['Feature'], hovertemplate='%{x}<br>Close: %{y}<br>Feature: %{customdata}<br>')  
     figure.add_scatter(x=plot_sub_neg['Date'], y=plot_sub_neg['Price'], mode='markers', 
-        marker=dict(symbol='triangle-down', size=10, color=cs.neg_impacts_color), name='Strong sell', 
+        marker=dict(symbol='triangle-down', size=10, color=cs.neg_impacts_color), name='Negative Impact', 
         customdata=events['Feature'], hovertemplate='%{x}<br>Close: %{y}<br>Feature: %{customdata}<br>',)
     figure.update_layout(
         title={