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fix torchcodec error by using soundfile instead of torchaudio.load

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torchaudio 2.10+ switched its default audio loading backend to
torchcodec, which isn't installed. Replace torchaudio.load() with
soundfile.read() in create_voice_prompt(). TADA's internal use of
torchaudio.functional.resample() is unaffected (pure PyTorch math,
no torchcodec dependency).
This commit is contained in:
James Pine
2026-03-17 02:25:05 -07:00
parent 7a90290a76
commit 12cda2e090
1 changed files with 8 additions and 3 deletions
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backend/backends/hume_backend.py
+8 -3
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@@ -231,12 +231,17 @@ class HumeTadaBackend:
def _encode_sync(): def _encode_sync():
import torch import torch
import torchaudio import soundfile as sf
device = self._device device = self._device
# Load and prepare audio # Load audio with soundfile (torchaudio 2.10+ requires torchcodec)
audio, sr = torchaudio.load(str(audio_path)) audio_np, sr = sf.read(str(audio_path), dtype="float32")
audio = torch.from_numpy(audio_np).float()
if audio.ndim == 1:
audio = audio.unsqueeze(0) # (samples,) -> (1, samples)
else:
audio = audio.T # (samples, channels) -> (channels, samples)
audio = audio.to(device) audio = audio.to(device)
# Encode with forced alignment # Encode with forced alignment