Update app.py

app.py

@@ -79,7 +79,7 @@ for i, row in df_to_add.iterrows():
 
     # Regression
     try:
-        if company == "Tesla, Inc.":
+        if company == "Tesla":
             val = price_pipeline_tesla(row['Title'])[0]['score']
             df_to_add.at[i,'Predicted'] = max(val, 1.0)
         elif company == "Microsoft":
@@ -236,7 +236,7 @@ This dashboard allows you to compare the performance of three sentiment models i
   - For the regression model, thresholds are +1 and -1.
 """
 
-companies = ["Microsoft", "Tesla, Inc."]
+companies = ["Microsoft", "Tesla"]
 
 with gr.Blocks() as demo:
     gr.Markdown("# Portfolio Strategy Dashboard")
@@ -245,7 +245,7 @@ with gr.Blocks() as demo:
     with gr.Row():
         dropdown_companies = gr.Dropdown(
             choices=companies,
-            value=["Microsoft", "Tesla, Inc."],
+            value=["Microsoft", "Tesla"],
             multiselect=True,
             label="Select Companies"
         )