Update app.py

app.py

@@ -163,7 +163,7 @@ def Transcribe_V1(NumberOfSpeakers, SpeakerNames="", audio="temp_audio.wav"):
 
 
 def Transcribe_V2(model, num_speakers, speaker_names, audio="temp_audio.wav"):
-    #model = whisper.load_model("medium")
+    model = whisper.load_model(model)
     # embedding_model = SpeechBrainPretrainedSpeakerEmbedding("speechbrain/spkrec-ecapa-voxceleb")
     
     embedding_model = SpeechBrainPretrainedSpeakerEmbedding(
@@ -269,9 +269,9 @@ def Transcribe_V2(model, num_speakers, speaker_names, audio="temp_audio.wav"):
     if duration > 4 * 60 * 60:
         return "Audio duration too long"
 
-    print(json.dumps(diarization(audio)))
+    # print(json.dumps(diarization(audio)))
     result = model.transcribe(audio)
-    print(json.dumps(result))
+    # print(json.dumps(result))
 
     segments = result["segments"]