Update app.py

app.py

@@ -1040,7 +1040,7 @@ for i, row in df_multi.iterrows():
 
     # Sentiment for all companies
     try:
-        res = sentiment_pipeline(row['Riassunto'])[0]
+        res = sentiment_pipeline(row['Summary'])[0]
         df_multi.at[i,'Sentiment'] = res['label'].upper().strip()
         df_multi.at[i,'Confidence'] = res['score']
     except:
@@ -1146,16 +1146,17 @@ def show_company_data(selected_companies):
 demo = gr.Interface(
     fn=show_company_data,
     inputs=[
-        gr.CheckboxGroup(
-            choices=companies, 
-            value=["Microsoft", "Tesla,Inc."],  # <- default pre-selezionate
-            label="Select Companies"
+        gr.Dropdown(
+            choices=companies,
+            value=["Microsoft"],   # default
+            label="Select Companies",
+            multiselect=True,              # permette selezione multipla
+            searchable=True                # abilita la ricerca testuale
         )
     ],
     outputs=[
         gr.Dataframe(label="Top 10 Rows per Company", type="pandas"),
         gr.Plot(label="Strategy A: Sentiment"),
-        # gr.Plot(label="Strategy B: Regression")
     ],
     title="Interactive Portfolio Evolution",
     description="Select one or more companies to visualize portfolio evolution based on the sentiment of the news."