Update app.py

app.py

@@ -94,15 +94,10 @@ def sentiment(diarized, emotion_pipeline):
             outputs = emotion_pipeline(sentences)
 
             for idx, (o, t) in enumerate(zip(outputs, sentences)):
-                sent = "neutral"
                 if o["score"] > thresholds[o["label"]]:
                     customer_sentiments.append(
                         (t + f"({round(idx*interval_size+start_time,1)} s)", o["label"])
                     )
-                    if o["label"] in {"joy", "love", "surprise"}:
-                        sent = "positive"
-                    elif o["label"] in {"sadness", "anger", "fear"}:
-                        sent = "negative"
 
     return customer_sentiments