Test zero gpu
Browse files
webui.py
CHANGED
@@ -23,7 +23,7 @@ from datetime import datetime
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from cli.SparkTTS import SparkTTS
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from sparktts.utils.token_parser import LEVELS_MAP_UI
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from huggingface_hub import snapshot_download
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-
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def initialize_model(model_dir=None, device="cpu"):
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"""Load the model once at the beginning."""
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@@ -37,6 +37,32 @@ def initialize_model(model_dir=None, device="cpu"):
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model = SparkTTS(model_dir, device)
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return model
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def run_tts(
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text,
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@@ -64,17 +90,15 @@ def run_tts(
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logging.info("Starting inference...")
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# Perform inference and save the output audio
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wav = model.inference(
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text,
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prompt_speech,
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prompt_text,
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gender,
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pitch,
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speed,
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logging.info(f"Audio saved at: {save_path}")
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from cli.SparkTTS import SparkTTS
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from sparktts.utils.token_parser import LEVELS_MAP_UI
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from huggingface_hub import snapshot_download
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import spaces
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def initialize_model(model_dir=None, device="cpu"):
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"""Load the model once at the beginning."""
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model = SparkTTS(model_dir, device)
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return model
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@spaces.gpu
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def generate(model,
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text,
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prompt_speech,
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prompt_text,
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gender,
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pitch,
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speed,
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):
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"""Generate audio from text."""
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# if gpu available, move model to gpu
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if torch.cuda.is_available():
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model = model.to("cuda")
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with torch.no_grad():
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wav = model.inference(
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text,
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prompt_speech,
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prompt_text,
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gender,
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pitch,
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speed,
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)
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return wav
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def run_tts(
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text,
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logging.info("Starting inference...")
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# Perform inference and save the output audio
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wav = generate(model, text,
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prompt_speech,
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prompt_text,
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gender,
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pitch,
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speed,)
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sf.write(save_path, wav, samplerate=16000)
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logging.info(f"Audio saved at: {save_path}")
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