JacobLinCool commited on
Commit
6db8e8a
·
1 Parent(s): 0293e4c

feat: change model name

Browse files
Files changed (2) hide show
  1. app/export.py +1 -3
  2. app/infer.py +1 -2
app/export.py CHANGED
@@ -1,7 +1,6 @@
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  from glob import glob
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  import os
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  import shutil
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- import tempfile
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  import gradio as gr
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  from infer.lib.train.process_ckpt import extract_small_model
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  from app.train import train_index
@@ -15,8 +14,7 @@ def download_weight(exp_dir: str) -> str:
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  latest_checkpoint = max(checkpoints, key=os.path.getctime)
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  print(f"Latest checkpoint: {latest_checkpoint}")
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- name = os.path.basename(exp_dir)
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- out = os.path.join(exp_dir, f"{name}.pth")
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  extract_small_model(
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  latest_checkpoint, out, "40k", True, "Model trained by ZeroGPU.", "v2"
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  )
 
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  from glob import glob
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  import os
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  import shutil
 
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  import gradio as gr
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  from infer.lib.train.process_ckpt import extract_small_model
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  from app.train import train_index
 
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  latest_checkpoint = max(checkpoints, key=os.path.getctime)
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  print(f"Latest checkpoint: {latest_checkpoint}")
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+ out = os.path.join(exp_dir, f"model.pth")
 
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  extract_small_model(
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  latest_checkpoint, out, "40k", True, "Model trained by ZeroGPU.", "v2"
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  )
app/infer.py CHANGED
@@ -15,8 +15,7 @@ from model import device
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  def infer(
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  exp_dir: str, original_audio: str, f0add: int, index_rate: float, protect: float
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  ) -> Tuple[int, np.ndarray]:
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- name = os.path.basename(exp_dir)
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- model = os.path.join(exp_dir, f"{name}.pth")
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  if not os.path.exists(model):
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  raise gr.Error("Model not found")
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  def infer(
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  exp_dir: str, original_audio: str, f0add: int, index_rate: float, protect: float
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  ) -> Tuple[int, np.ndarray]:
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+ model = os.path.join(exp_dir, "model.pth")
 
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  if not os.path.exists(model):
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  raise gr.Error("Model not found")
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