Update app.py

app.py

@@ -53,8 +53,13 @@ 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 - 0.65) / 0.2 * 100) * (1 if score >= 0 else -1)
+
+    scaled=((score - 0.65) / 0.2 * 100)
+
+    if scaled>=0:
+        return scaled
+    else:
+        return scaled*-1
 
 
 # uses Polygon API to fetch article