forked from mrq/ai-voice-cloning
forgot to update to finetune subdir
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@ -198,7 +198,7 @@ def optimize_training_settings_proxy( *args ):
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def import_training_settings_proxy( voice ):
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def import_training_settings_proxy( voice ):
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messages = []
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messages = []
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injson = f'./training/{voice}/train.json'
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injson = f'./training/{voice}/train.json'
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statedir = f'./training/{voice}/training_state/'
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statedir = f'./training/{voice}/finetune/training_state/'
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with open(injson, 'r', encoding="utf-8") as f:
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with open(injson, 'r', encoding="utf-8") as f:
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settings = json.loads(f.read())
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settings = json.loads(f.read())
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@ -412,7 +412,7 @@ def setup_gradio():
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with gr.Row():
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with gr.Row():
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TRAINING_SETTINGS["workers"] = gr.Number(label="Worker Processes", value=2, precision=0)
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TRAINING_SETTINGS["workers"] = gr.Number(label="Worker Processes", value=2, precision=0)
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TRAINING_SETTINGS["gpus"] = gr.Number(label="GPUs", value=get_device_count(), precision=0)
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TRAINING_SETTINGS["gpus"] = gr.Number(label="GPUs", value=get_device_count(), precision=0)
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TRAINING_SETTINGS["source_model"] = gr.Dropdown( choices=autoregressive_models, label="Source Model", type="value", value=autoregressive_models[0] )
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TRAINING_SETTINGS["source_model"] = gr.Dropdown( choices=autoregressive_models, label="Source Model", type="value", value=autoregressive_models[0] )
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TRAINING_SETTINGS["resume_state"] = gr.Textbox(label="Resume State Path", placeholder="./training/${voice}/training_state/${last_state}.state")
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TRAINING_SETTINGS["resume_state"] = gr.Textbox(label="Resume State Path", placeholder="./training/${voice}/training_state/${last_state}.state")
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