Update app.py

app.py

@@ -91,6 +91,10 @@ def sentiment(diarized, emotion_pipeline):
         speaker_speech, speaker_id = diarized[i]
         times, _ = diarized[i + 1]
 
+        start_time, end_time = times[5:].split("-")
+        start_time, end_time = float(start_time), float(end_time)
+        interval_size = (end_time - start_time) / len(sentences)
+
         sentences = split_into_sentences(speaker_speech)
         if "Customer" in speaker_id: