Update app.py

app.py

@@ -70,7 +70,7 @@ for i, row in df_to_add.iterrows():
 
     # FinBERT
     try:
-        res_f = finbert_pipeline(row['Summary'])[0]
+        res_f = finbert_pipeline(row['Title'])[0]
         df_to_add.at[i,'FinBERT_Sentiment'] = res_f['label'].upper().strip()
         df_to_add.at[i,'FinBERT_Confidence'] = res_f['score']
     except:
@@ -80,10 +80,10 @@ for i, row in df_to_add.iterrows():
     # Regression
     try:
         if company == "Tesla, Inc.":
-            val = price_pipeline_tesla(row['Summary'])[0]['score']
+            val = price_pipeline_tesla(row['Title'])[0]['score']
             df_to_add.at[i,'Predicted'] = max(val, 1.0)
         elif company == "Microsoft":
-            val = price_pipeline_msft(row['Summary'])[0]['score']
+            val = price_pipeline_msft(row['Title'])[0]['score']
             df_to_add.at[i,'Predicted'] = max(val, 1.0)
     except:
         df_to_add.at[i,'Predicted'] = 0.0