Update app.py

app.py

@@ -3,17 +3,17 @@ import gradio as gr
 
 model = EncoderASR.from_hparams("speechbrain/asr-wav2vec2-dvoice-wolof")
 
-# def transcribe(audio):
-#   return model.transcribe_file(audio.name)
-
 def transcribe(audio):
-    if isinstance(audio, str):  # If input is a file path
-        return model.transcribe_file(audio)
-    else:  # If input is audio data from microphone
-        return model.transcribe_array(audio)
+  return model.transcribe_file(audio.name)
+
+# def transcribe(audio):
+#     if isinstance(audio, str):  # If input is a file path
+#         return model.transcribe_file(audio)
+#     else:  # If input is audio data from microphone
+#         return model.transcribe_array(audio)
 
 
-demo = gr.Interface(fn=transcribe, inputs=["file", "microphone"], outputs="text", 
+demo = gr.Interface(fn=transcribe, inputs=["file"], outputs="text", ## , "microphone"
                    title="Transcription audio en wolof latin by Papa Séga", 
              description="Ce modèle transcrit un fichier audio en wolof en texte en utilisant l'alphabet latin.",              
              input_label="Audio en wolof",