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feat(gui): better error handling #85

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Mar 23, 2023
Merged

feat(gui): better error handling #85

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81 changes: 45 additions & 36 deletions src/so_vits_svc_fork/gui.py
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Original file line number Diff line number Diff line change
Expand Up @@ -505,35 +505,38 @@ def apply_preset(name: str) -> None:
if not input_path.exists() or not input_path.is_file():
LOG.warning(f"Input path {input_path} does not exist.")
continue
infer(
model_path=Path(values["model_path"]),
config_path=Path(values["config_path"]),
input_path=input_path,
output_path=output_path,
speaker=values["speaker"],
cluster_model_path=Path(values["cluster_model_path"])
if values["cluster_model_path"]
else None,
transpose=values["transpose"],
auto_predict_f0=values["auto_predict_f0"],
cluster_infer_ratio=values["cluster_infer_ratio"],
noise_scale=values["noise_scale"],
db_thresh=values["silence_threshold"],
pad_seconds=values["pad_seconds"],
absolute_thresh=values["absolute_thresh"],
chunk_seconds=values["chunk_seconds"],
device="cpu"
if not values["use_gpu"]
else (
"cuda"
if torch.cuda.is_available()
else "mps"
if torch.backends.mps.is_available()
else "cpu"
),
)
if values["auto_play"]:
pool.schedule(play_audio, args=[output_path])
try:
infer(
model_path=Path(values["model_path"]),
config_path=Path(values["config_path"]),
input_path=input_path,
output_path=output_path,
speaker=values["speaker"],
cluster_model_path=Path(values["cluster_model_path"])
if values["cluster_model_path"]
else None,
transpose=values["transpose"],
auto_predict_f0=values["auto_predict_f0"],
cluster_infer_ratio=values["cluster_infer_ratio"],
noise_scale=values["noise_scale"],
db_thresh=values["silence_threshold"],
pad_seconds=values["pad_seconds"],
absolute_thresh=values["absolute_thresh"],
chunk_seconds=values["chunk_seconds"],
device="cpu"
if not values["use_gpu"]
else (
"cuda"
if torch.cuda.is_available()
else "mps"
if torch.backends.mps.is_available()
else "cpu"
),
)
if values["auto_play"]:
pool.schedule(play_audio, args=[output_path])
except Exception as e:
LOG.exception(e)
elif event == "play_input":
if Path(values["input_path"]).exists():
pool.schedule(play_audio, args=[Path(values["input_path"])])
Expand Down Expand Up @@ -582,15 +585,21 @@ def apply_preset(name: str) -> None:
elif event == "onnx_export":
from .onnx_export import onnx_export

onnx_export(
input_path=Path(values["model_path"]),
output_path=Path(values["model_path"]).with_suffix(".onnx"),
config_path=Path(values["config_path"]),
device="cpu",
)
try:
onnx_export(
input_path=Path(values["model_path"]),
output_path=Path(values["model_path"]).with_suffix(".onnx"),
config_path=Path(values["config_path"]),
device="cpu",
)
except Exception as e:
LOG.exception(e)
if future is not None and future.done():
LOG.error("Error in realtime: ")
LOG.exception(future.exception())
try:
future.result()
except Exception as e:
LOG.exception(e)
future = None
if future:
future.cancel()
Expand Down