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Print the duration of the audio generated so far.

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This commit is contained in:
laurent 2025-08-04 09:22:36 +02:00
parent 07729ed47e
commit 5a719b69c0
1 changed files with 14 additions and 1 deletions
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15
scripts/tts_pytorch.py
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@ -78,6 +78,7 @@ def main():
condition_attributes = tts_model.make_condition_attributes(
[voice_path], cfg_coef=2.0
)
_frames_cnt = 0
if args.out == "-":
# Stream the audio to the speakers using sounddevice.
@ -86,9 +87,12 @@ def main():
pcms = queue.Queue()
def _on_frame(frame):
nonlocal _frames_cnt
if (frame != -1).all():
pcm = tts_model.mimi.decode(frame[:, 1:, :]).cpu().numpy()
pcms.put_nowait(np.clip(pcm[0, 0], -1, 1))
_frames_cnt += 1
print(f"generated {_frames_cnt / 12.5:.2f}s", end="\r", flush=True)
def audio_callback(outdata, _a, _b, _c):
try:
@ -113,7 +117,16 @@ def main():
break
time.sleep(1)
else:
result = tts_model.generate([entries], [condition_attributes])
def _on_frame(frame):
nonlocal _frames_cnt
if (frame != -1).all():
_frames_cnt += 1
print(f"generated {_frames_cnt / 12.5:.2f}s", end="\r", flush=True)
result = tts_model.generate(
[entries], [condition_attributes], on_frame=_on_frame
)
with tts_model.mimi.streaming(1), torch.no_grad():
pcms = []
for frame in result.frames[tts_model.delay_steps :]: