Update app.py

app.py

@@ -203,7 +203,7 @@ with market_analysis:
         #                 xaxis=dict(title='Date'),
         #                 yaxis=dict(title='Close Price', side='left', showgrid=False),
         #                 yaxis2=dict(title='MACD', side='right', overlaying='y', showgrid=False))
-        fig.update_layout(title='MACD Analysis')
+        fig.update_layout(title='Close Price vs MACD')
         fig.update_xaxes(
             rangeslider_visible=False,
             rangeselector=dict(
@@ -581,7 +581,10 @@ with news_analysis:
 
 with final_recs:
     st.header("GenAI Recommendations")
-    st.write("This module provides trading recommendation for the following day based on the selected current date.")
+    st.write("""This module provides trading recommendation for the following day based on the current date.
+    For demo purpose this is restricted to test data from (Aug 12, 2021- Aug 31,2021). 
+    The results shown here are based on our model's inference on this test data, which is available in the Colab Notebook. 
+    Real time recommendation calls to GenAI based model can be provided as and when required as we are using paid services for model inference.""")
 
     if 'Trading_Recommendations\r' in events.columns:
         events.rename(columns={'Trading_Recommendations\r': 'Trading_Recommendations'}, inplace=True)
@@ -597,10 +600,10 @@ with final_recs:
     # Reverse the array to have the latest date at index 0
     dates = dates[::-1]
     num_dates = len(dates)
-    st.subheader("GenAI Recommendations")
+    # st.subheader("GenAI Recommendations")
     genrec_container = st.container(border=False)
     role = genrec_container.radio(
-    "Get your recommendation summary as:",
+    "Show recommendation summary as:",
     ["Trader", "Equity Analyst"], horizontal=True)
 
     genrec = 'Recommendation for following day will go here.'