Update app.py

app.py

@@ -79,10 +79,68 @@ 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')
+#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()
+
+
+
+
+demo = gr.Blocks()
+
+mic_transcribe = gr.Interface(
+    fn=denoise,
+    inputs=[
+        gr.inputs.Audio(source="microphone", label="Audio to denoise", type="filepath", optional=True),
+        gr.inputs.Radio(["transcribe", "translate"], label="Task", default="transcribe"),
+        gr.inputs.Checkbox(default=False, label="Return timestamps"),
+    ],
+    
+    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()
+
+# file_transcribe = gr.Interface(
+#     fn=transcribe,
+#     inputs=[
+#         gr.inputs.Audio(source="upload", optional=True, label="Audio file", type="filepath"),
+#         gr.inputs.Radio(["transcribe", "translate"], label="Task", default="transcribe"),
+#         gr.inputs.Checkbox(default=False, label="Return timestamps"),
+#     ],
+#     outputs="text",
+#     layout="horizontal",
+#     theme="huggingface",
+#     title="Whisper Demo: Transcribe Audio",
+#     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."
+#     ),
+# #    examples=[
+#  #       ["./example.flac", "transcribe", False],
+#   #      ["./example.flac", "transcribe", True],
+#    # ],
+#     cache_examples=True,
+#     allow_flagging="never",
+# )
+
+# with demo:
+#     gr.TabbedInterface([mic_transcribe, file_transcribe], ["Transcribe Microphone", "Transcribe Audio File"])
+
+# demo.launch(enable_queue=True)
 
-title = "Speech Denoising in the Waveform Domain with Self-Attention from Nvidia"
-
-gr.Interface(denoise, inputs, outputs, title=title, enable_queue=True).launch()