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import wave | |
import gradio as gr | |
def get_audio_duration(audio_file): | |
with wave.open(audio_file, 'rb') as audio: | |
frames = audio.getnframes() | |
rate = audio.getframerate() | |
duration = frames / float(rate) | |
return duration | |
def get_training_info(audio_file): | |
if audio_file is None: | |
return 'the audio file pls' | |
duration = get_audio_duration(audio_file) | |
sample_rate = wave.open(audio_file, 'rb').getframerate() | |
training_info = { | |
(0, 2): (150, 'TITAN'), | |
(2, 3): (200, 'TITAN'), | |
(3, 5): (250, 'TITAN'), | |
(5, 10): (300, 'normal'), | |
(10, 25): (500, 'Normal'), | |
(25, 45): (700, 'Normal'), | |
(45, 60): (1000, 'Normal') | |
} | |
for (min_duration, max_duration), (epochs, pretrain) in training_info.items(): | |
if min_duration <= duration < max_duration: | |
break | |
else: | |
return 'Duration is not within the specified range.' | |
return f'You should use the **{pretrain}** pretrain with **{epochs}** epochs at **{sample_rate/1000}kHz** sample rate. Good luck with your training!' | |
with gr.Blocks(theme=gr.themes.Base(primary_hue="sky", secondary_hue="blue"), title="RVC TRAINING HELPER") as demo: | |
with gr.Tab("Main Settings"): | |
audio_p = gr.Audio(type="filepath", label="Your Audio here") | |
wtar = gr.Button("Start!") | |
audio_q = gr.Textbox(scale=3, label="Your Output here") | |
wtar.click(get_training_info, inputs=[audio_p], outputs=[audio_q]) | |
with gr.Tab("Credits"): | |
gr.Markdown("### This code Originaly by [TheStinger](https://huggingface.co./TheStinger)") | |
demo.launch(debug=True) | |