forked from camenduru/ai-voice-cloning
oops
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@ -649,7 +649,7 @@ def optimize_training_settings( epochs, batch_size, learning_rate, learning_rate
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if half_p:
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if half_p:
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messages.append("Half Precision requested. Please note this is ! EXPERIMENTAL !")
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messages.append("Half Precision requested. Please note this is ! EXPERIMENTAL !")
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if not os.path.exists(get_halfp_model()):
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if not os.path.exists(get_halfp_model_path()):
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convert_to_halfp()
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convert_to_halfp()
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messages.append(f"For {epochs} epochs with {lines} lines in batches of {batch_size}, iterating for {iterations} steps ({int(iterations / epochs)} steps per epoch)")
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messages.append(f"For {epochs} epochs with {lines} lines in batches of {batch_size}, iterating for {iterations} steps ({int(iterations / epochs)} steps per epoch)")
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@ -336,7 +336,7 @@ def setup_gradio():
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with gr.Row():
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with gr.Row():
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with gr.Column():
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with gr.Column():
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result_voices = get_voice_list("./results/")
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result_voices = get_voice_list("./results/")
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history_voices = gr.Dropdown(choices=result_voices, label="Voice", type="value", value=result_voices[0])
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history_voices = gr.Dropdown(choices=result_voices, label="Voice", type="value", value=result_voices[0] if len(results_voices) > 0 else "")
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with gr.Column():
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with gr.Column():
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history_results_list = gr.Dropdown(label="Results",type="value", interactive=True, value="")
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history_results_list = gr.Dropdown(label="Results",type="value", interactive=True, value="")
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with gr.Column():
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with gr.Column():
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