Whisper X implementation

transcription.py

@@ -14,7 +14,7 @@ import numpy as np
 from sklearn.cluster import AgglomerativeClustering
 from sklearn.metrics import silhouette_score
 
-from pytube import YouTube
+#from pytube import YouTube
 #import yt_dlp
 import torch
 #import pyannote.audio
@@ -301,9 +301,9 @@ def speech_to_text(audio_file, selected_source_lang, whisper_model, num_speakers
     
 
 
-#######################################################################
+# #######################################################################
 
-def fast_whisper(audio_file, whisper_model="large_v2", language="es"): 
+# def fast_whisper(audio_file, whisper_model="large_v2", language="es"): 
 
 
-    return out
+#     return out