theNeofr commited on
Commit
044b1fe
1 Parent(s): 8518d8c

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +6 -6
app.py CHANGED
@@ -141,7 +141,7 @@ def prepare_output_dir(input_file, output_dir):
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  raise RuntimeError(f"Failed to prepare output directory {out_dir}: {e}")
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  return out_dir
143
 
144
- def roformer_separator(audio, model_key, seg_size, override_seg_size, overlap, pitch_shift, model_dir, out_dir, out_format, norm_thresh, amp_thresh, batch_size, progress=gr.Progress(track_tqdm=True)):
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  """Separate audio using Roformer model."""
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  base_name = os.path.splitext(os.path.basename(audio))[0]
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  print_message(audio, model_key)
@@ -212,7 +212,7 @@ def mdx23c_separator(audio, model, seg_size, override_seg_size, overlap, pitch_s
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  except Exception as e:
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  raise RuntimeError(f"MDX23C separation failed: {e}") from e
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- def mdx_separator(audio, model, hop_length, seg_size, overlap, denoise, model_dir, out_dir, out_format, norm_thresh, amp_thresh, batch_size, progress=gr.Progress(track_tqdm=True)):
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  """Separate audio using MDX-NET model."""
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  base_name = os.path.splitext(os.path.basename(audio))[0]
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  print_message(audio, model)
@@ -247,7 +247,7 @@ def mdx_separator(audio, model, hop_length, seg_size, overlap, denoise, model_di
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  except Exception as e:
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  raise RuntimeError(f"MDX-NET separation failed: {e}") from e
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250
- def vr_separator(audio, model, window_size, aggression, tta, post_process, post_process_threshold, high_end_process, model_dir, out_dir, out_format, norm_thresh, amp_thresh, batch_size, progress=gr.Progress(track_tqdm=True)):
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  """Separate audio using VR ARCH model."""
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  base_name = os.path.splitext(os.path.basename(audio))[0]
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  print_message(audio, model)
@@ -284,7 +284,7 @@ def vr_separator(audio, model, window_size, aggression, tta, post_process, post_
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  except Exception as e:
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  raise RuntimeError(f"VR ARCH separation failed: {e}") from e
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- def demucs_separator(audio, model, seg_size, shifts, overlap, segments_enabled, model_dir, out_dir, out_format, norm_thresh, amp_thresh, progress=gr.Progress(track_tqdm=True)):
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  """Separate audio using Demucs model."""
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  print_message(audio, model)
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  try:
@@ -441,8 +441,8 @@ with gr.Blocks(
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  batch_size = gr.Slider(minimum=1, maximum=16, step=1, value=1, label="Batch Size", info="Larger consumes more RAM but may process slightly faster.")
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  with gr.Tab("Credits"):
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  gr.Markdown("""
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- Politrees - gradio webui
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- theNeodev - mod the ui
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  nomadkaraoke - original project
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  """)
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141
  raise RuntimeError(f"Failed to prepare output directory {out_dir}: {e}")
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  return out_dir
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+ def roformer_separator(audio, model_key, seg_size, override_seg_size, overlap, pitch_shift, model_dir, out_dir, out_format, norm_thresh, amp_thresh, batch_size, progress=gr.Progress()):
145
  """Separate audio using Roformer model."""
146
  base_name = os.path.splitext(os.path.basename(audio))[0]
147
  print_message(audio, model_key)
 
212
  except Exception as e:
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  raise RuntimeError(f"MDX23C separation failed: {e}") from e
214
 
215
+ def mdx_separator(audio, model, hop_length, seg_size, overlap, denoise, model_dir, out_dir, out_format, norm_thresh, amp_thresh, batch_size, progress=gr.Progress()):
216
  """Separate audio using MDX-NET model."""
217
  base_name = os.path.splitext(os.path.basename(audio))[0]
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  print_message(audio, model)
 
247
  except Exception as e:
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  raise RuntimeError(f"MDX-NET separation failed: {e}") from e
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250
+ def vr_separator(audio, model, window_size, aggression, tta, post_process, post_process_threshold, high_end_process, model_dir, out_dir, out_format, norm_thresh, amp_thresh, batch_size, progress=gr.Progress()):
251
  """Separate audio using VR ARCH model."""
252
  base_name = os.path.splitext(os.path.basename(audio))[0]
253
  print_message(audio, model)
 
284
  except Exception as e:
285
  raise RuntimeError(f"VR ARCH separation failed: {e}") from e
286
 
287
+ def demucs_separator(audio, model, seg_size, shifts, overlap, segments_enabled, model_dir, out_dir, out_format, norm_thresh, amp_thresh, progress=gr.Progress()):
288
  """Separate audio using Demucs model."""
289
  print_message(audio, model)
290
  try:
 
441
  batch_size = gr.Slider(minimum=1, maximum=16, step=1, value=1, label="Batch Size", info="Larger consumes more RAM but may process slightly faster.")
442
  with gr.Tab("Credits"):
443
  gr.Markdown("""
444
+ Politrees - gradio webui\n
445
+ theNeodev - mod the ui\n
446
  nomadkaraoke - original project
447
  """)
448