refactor(cli): defer soundfile and voxcpm.core imports to inference commands

Move `import soundfile as sf` and `from voxcpm.core import VoxCPM` from
module-level into the functions that require model inference (load_model,
_run_single, cmd_batch), so `voxcpm validate` can run without loading
the model/inference stack.
This commit is contained in:
supermario_leo
2026-04-25 05:09:23 +08:00
parent 29577d57f8
commit dd7b78f2c0
+7 -6
View File
@@ -11,11 +11,6 @@ import os
import sys import sys
from pathlib import Path from pathlib import Path
import soundfile as sf
from voxcpm.core import VoxCPM
DEFAULT_HF_MODEL_ID = "openbmb/VoxCPM2" DEFAULT_HF_MODEL_ID = "openbmb/VoxCPM2"
# ----------------------------- # -----------------------------
@@ -173,7 +168,9 @@ def validate_batch_args(args, parser):
# ----------------------------- # -----------------------------
def load_model(args) -> VoxCPM: def load_model(args):
from voxcpm.core import VoxCPM
print("Loading VoxCPM model...", file=sys.stderr) print("Loading VoxCPM model...", file=sys.stderr)
zipenhancer_path = getattr(args, "zipenhancer_path", None) or os.environ.get( zipenhancer_path = getattr(args, "zipenhancer_path", None) or os.environ.get(
@@ -266,6 +263,8 @@ def _run_single(args, parser, *, text: str, output: str, prompt_text: str | None
and (args.prompt_audio is not None or args.reference_audio is not None), and (args.prompt_audio is not None or args.reference_audio is not None),
) )
import soundfile as sf
sf.write(str(output_path), audio_array, model.tts_model.sample_rate) sf.write(str(output_path), audio_array, model.tts_model.sample_rate)
duration = len(audio_array) / model.tts_model.sample_rate duration = len(audio_array) / model.tts_model.sample_rate
@@ -307,6 +306,8 @@ def cmd_validate(args, parser):
def cmd_batch(args, parser): def cmd_batch(args, parser):
import soundfile as sf
input_file = require_file_exists(args.input, parser, "input file") input_file = require_file_exists(args.input, parser, "input file")
output_dir = Path(args.output_dir) output_dir = Path(args.output_dir)
output_dir.mkdir(parents=True, exist_ok=True) output_dir.mkdir(parents=True, exist_ok=True)