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https://github.com/storytold/storyteller-ml.git
synced 2026-10-28 09:08:54 +00:00
Add max_decoder_steps, streamline Dockerfile
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+14
-2
@@ -25,10 +25,11 @@ from falcon_multipart.middleware import MultipartMiddleware
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from wsgiref import simple_server
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from vocodes_common import TacotronWaveglowPipeline
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from vocodes_common import print_gpu_info
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from vocodes_common import load_hifigan_model
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from vocodes_common import load_tacotron_model
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from vocodes_common import load_waveglow_model
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from vocodes_common import load_hifigan_model
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from vocodes_common import parse_int_or_default
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from vocodes_common import print_gpu_info
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from logger import LOGGER
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@@ -221,6 +222,8 @@ class ApiHandler():
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LOGGER.info(f"TTS Request: {raw_data}")
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# ========== RUST SERVICE ARGUMENTS ==========
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# Request parameters
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synthesizer_checkpoint_path = raw_data.get('synthesizer_checkpoint_path')
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text_pipeline_type = raw_data.get('text_pipeline_type')
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@@ -233,10 +236,15 @@ class ApiHandler():
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output_spectrogram_filename = raw_data.get('output_spectrogram_filename')
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output_metadata_filename = raw_data.get('output_metadata_filename')
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# Temporarily optional request parameters
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maybe_max_decoder_steps = raw_data.get('max_decoder_steps')
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# Optional request parameters
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maybe_clear_synthesizer_checkpoint_path = \
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raw_data.get('maybe_clear_synthesizer_checkpoint_path')
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# ========== INFERENCE ==========
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pipeline.maybe_load_waveglow_model(waveglow_vocoder_checkpoint_path)
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pipeline.maybe_load_hifigan(hifigan_vocoder_checkpoint_path)
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pipeline.maybe_load_hifigan_super_resolution(hifigan_superres_vocoder_checkpoint_path)
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@@ -246,6 +254,9 @@ class ApiHandler():
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pipeline.maybe_load_tacotron_model_to_cache(synthesizer_checkpoint_path)
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# NB: 1000 is the default and is roughly 12 seconds.
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max_decoder_steps = parse_int_or_default(maybe_max_decoder_steps, 1000)
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inference_args = {
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'raw_text': inference_text,
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'synthesizer_checkpoint_path': synthesizer_checkpoint_path,
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@@ -254,6 +265,7 @@ class ApiHandler():
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'output_audio_filename': output_audio_filename,
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'output_spectrogram_filename': output_spectrogram_filename,
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'output_metadata_filename': output_metadata_filename,
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'max_decoder_steps': max_decoder_steps,
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}
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LOGGER.info(f"running inference with args: {inference_args}")
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