Update app.py

app.py

@@ -197,6 +197,8 @@ def align(transcription, segments, group_by_speaker=True):
         # get the diarizer end timestamp
         end_time = segment["segment"]["end"]
         # find the ASR end timestamp that is closest to the diarizer's end timestamp and cut the transcript to here
+        if len(end_timestamps) == 0:
+            continue
         upto_idx = np.argmin(np.abs(end_timestamps - end_time))
 
         if group_by_speaker: