Small fixes

app.py

@@ -20,7 +20,6 @@
 # https://gradio.app/docs/#dropdown
 
 import logging
-import os
 import tempfile
 import time
 import urllib.request
@@ -28,7 +27,6 @@ from datetime import datetime
 
 import gradio as gr
 import torch
-import torchaudio
 from pydub import AudioSegment
 
 from separate import load_audio, load_model, separate
@@ -137,7 +135,6 @@ def process(in_filename: str):
     RTF: {end - start: .3f}/{duration: .3f} = {rtf:.3f} <br/>
     """
     logging.info(info)
-    logging.info(f"\nrepo_id: {repo_id}\nhyp: {text}")
 
     return vocals_filename, accompaniment_filename, build_html_output(info)
 
@@ -172,7 +169,7 @@ with demo:
             uploaded_html_info = gr.HTML(label="Info")
 
             gr.Examples(
-                examples=examples,
+                examples=["./yesterday-once-more-carpenters.mp3"],
                 inputs=[uploaded_file],
                 outputs=["audio", "audio", uploaded_html_info],
                 fn=process_uploaded_file,
@@ -190,7 +187,7 @@ with demo:
             recorded_html_info = gr.HTML(label="Info")
 
             gr.Examples(
-                examples=examples,
+                examples=["./yesterday-once-more-carpenters.mp3"],
                 inputs=[microphone],
                 outputs=["audio", "audio", recorded_html_info],
                 fn=process_microphone,
@@ -225,8 +222,6 @@ with demo:
             outputs=["audio", "audio", url_html_info],
         )
 
-    gr.Markdown(description)
-
 torch.set_num_threads(1)
 torch.set_num_interop_threads(1)
 

requirements.txt

@@ -1,5 +1,4 @@
 https://download.pytorch.org/whl/cpu/torch-1.13.1%2Bcpu-cp38-cp38-linux_x86_64.whl
-https://download.pytorch.org/whl/cpu/torchaudio-0.13.1%2Bcpu-cp38-cp38-linux_x86_64.whl
 
 numpy
 pydub