Update app.py

app.py

@@ -3,8 +3,14 @@ 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):
-  return model.transcribe_file(audio.name)
+    if isinstance(audio, str):  # If input is a file path
+        return model.transcribe_file(audio.name)
+    else:  # If input is audio data from microphone
+        return model.transcribe_array(audio)
 
 
 demo = gr.Interface(fn=transcribe, inputs=["file", "microphone"], outputs="text",