Update app.py

app.py

@@ -25,19 +25,19 @@ pipe = pipeline(
 pipe.model.config.forced_decoder_ids = pipe.tokenizer.get_decoder_prompt_ids(language=lang, task="transcribe")
 
 @spaces.GPU(duration=120)
-def transcribe(microphone, file_upload):
+def transcribe(file):  #microphone, file_upload):
     pipe.to(device)
     warn_output = ""
-    if (microphone is not None) and (file_upload is not None):
-        warn_output = (
-            "WARNING: You've uploaded an audio file and used the microphone. "
-            "The recorded file from the microphone will be used and the uploaded audio will be discarded.\n"
-        )
+    # if (microphone is not None) and (file_upload is not None):
+    #     warn_output = (
+    #         "WARNING: You've uploaded an audio file and used the microphone. "
+    #         "The recorded file from the microphone will be used and the uploaded audio will be discarded.\n"
+    #     )
 
-    elif (microphone is None) and (file_upload is None):
-        return "ERROR: You have to either use the microphone or upload an audio file"
+    # elif (microphone is None) and (file_upload is None):
+    #     return "ERROR: You have to either use the microphone or upload an audio file"
 
-    file = microphone if microphone is not None else file_upload
+    # file = microphone if microphone is not None else file_upload
 
     text = pipe(file)["text"]
 
@@ -69,8 +69,7 @@ demo = gr.Blocks()
 mf_transcribe = gr.Interface(
     fn=transcribe,
     inputs=[
-        gr.components.Audio(source="microphone", type="filepath", optional=True),
-        gr.components.Audio(source="upload", type="filepath", optional=True),
+        gr.components.Audio(sources=['upload', 'microphone'], type="filepath", optional=True),
     ],
     outputs="text",
     layout="horizontal",