Update app.py

app.py

@@ -9,9 +9,9 @@ device = "cuda:0" if torch.cuda.is_available() else "cpu"
 asr_pipe_audio2Text_Ge = pipeline(task="automatic-speech-recognition", model="jonatasgrosman/wav2vec2-large-xlsr-53-german")
 asr_pipe_whisper = pipeline(task="automatic-speech-recognition", model="openai/whisper-base", device=device)
 
-#def transcribeFile(audio_path : str) -> str:
-#    transcription = asr_pipe_audio2Text_Ge(audio_path)
-#   return transcription["text"]
+def transcribeFile(audio_path : str) -> str:
+   transcription = asr_pipe_audio2Text_Ge(audio_path)
+   return transcription["text"]
 
 def translateAudio(audio_path):
     translationOutput = asr_pipe_whisper(audio_path, max_new_tokens=256, generate_kwargs={"task":"translate"})