Update pages/1_Earnings_Sentiment_Analysis_📈_.py

pages/1_Earnings_Sentiment_Analysis_📈_.py

@@ -39,6 +39,8 @@ if st.session_state.url or st.session_state.upload:
     grouped = pd.DataFrame(sen_df['label'].value_counts()).reset_index()
     grouped.columns = ['sentiment','count']
     
+    st.session_state['sen_df'] = sen_df
+    
     # Display number of positive, negative and neutral sentiments
     fig = px.bar(grouped, x='sentiment', y='count', color='sentiment', color_discrete_map={"Negative":"firebrick","Neutral":\
                                                                                            "navajowhite","Positive":"darkgreen"},\