Update app.py

app.py

@@ -53,7 +53,8 @@ def predict_sentiment(text):
     input_ids, attention_mask = encoded_input["input_ids"], encoded_input["attention_mask"]
     with torch.no_grad():
         score = score_model(input_ids, attention_mask)[0].item()
-    return score
+    
+    return (score-40)/40*100
 
 # uses Polygon API to fetch article
 def fetch_articles(ticker):