Update app.py

app.py

@@ -1,10 +1,6 @@
 import os
 import gradio as gr
 from transformers import pipeline
-#from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
-
-
-#MODEL_ID = "jonatasgrosman/wav2vec2-large-xlsr-53-german"
 
 pipeline = pipeline(task="automatic-speech-recognition", model="jonatasgrosman/wav2vec2-large-xlsr-53-german")
 #pipeline = pipeline(task="automatic-speech-recognition", model="openai/whisper-large")
@@ -17,7 +13,7 @@ def transcribe(audio_path : str) -> str:
 demo = gr.Interface(
     fn=transcribe,
     #inputs="microphone",
-    inputs=gr.inputs.Audio(label="Upload audio file", type="filepath"),
+    inputs=gr.inputs.Audio(label="Upload audio file", type="filepath"), "microphone",
     outputs="text"
 )