Update app.py

app.py

@@ -79,10 +79,30 @@ def denoise(filename, ckpt_path = CHECKPOINT, out = "out.wav"):
 
     return out
 
-audio = gr.inputs.Audio(label = "Audio to denoise", type = 'filepath')
-inputs = [audio]
-outputs = gr.outputs.Audio(label = "Denoised audio", type = 'filepath')
-
-title = "Speech Denoising in the Waveform Domain with Self-Attention from Nvidia"
-
-gr.Interface(denoise, inputs, outputs, title=title, enable_queue=True).launch()
+# audio = gr.inputs.Audio(label = "Audio to denoise", type = 'filepath')
+# inputs = [audio]
+# outputs = gr.outputs.Audio(label = "Denoised audio", type = 'filepath')
+
+# title = "Speech Denoising in the Waveform Domain with Self-Attention from Nvidia"
+
+# gr.Interface(denoise, inputs, outputs, title=title, enable_queue=True).launch()
+
+
+mic_transcribe = gr.Interface(
+    fn=denoise,
+    inputs=[
+        gr.inputs.Audio(source="microphone", label="Audio to denoise", type="filepath", optional=True),
+    ],
+    outputs=gr.outputs.Audio(label = "Denoised audio", type = 'filepath'),
+    layout="horizontal",
+    #theme="huggingface",
+    title="My Demo: Speech enhancement",
+    #description=(
+    #     "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the"
+    #     f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
+    #     " of arbitrary length."
+    # ),
+    allow_flagging="never",
+)
+
+mic_transcribe.launch()