Update app.py

app.py

@@ -4,7 +4,7 @@ import whisper
 import gradio as gr
 from transformers import pipeline
 
-transcription_model = whisper.load_model("small.en")
+transcription_model = whisper.load_model("small")
 
 def transcribe(audio):
     
@@ -17,8 +17,8 @@ def transcribe(audio):
     mel = whisper.log_mel_spectrogram(audio).to(transcription_model.device)
 
     # detect the spoken language
-    # _, probs = transcription_model.detect_language(mel)
-    # print(f"Detected language: {max(probs, key=probs.get)}")
+    _, probs = transcription_model.detect_language(mel)
+    print(f"Detected language: {max(probs, key=probs.get)}")
 
     # decode the audio
     options = whisper.DecodingOptions(fp16 = False)