Update app.py
Browse files
app.py
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@@ -1,9 +1,39 @@
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import os
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import gradio as gr
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from pydub import AudioSegment
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from audio_separator.separator import Separator
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from lib.infer import infer_audio
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# Define a function to handle the entire separation process
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def separate_audio(input_audio, output_dir, model_voc_inst, model_deecho, model_back_voc):
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# Create output directory if it doesn't exist
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@@ -89,32 +119,6 @@ def process_audio(MODEL_NAME, SOUND_PATH, F0_CHANGE, F0_METHOD, MIN_PITCH, MAX_P
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with gr.Blocks(title="Hex RVC") as app:
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gr.Markdown("# Hex RVC")
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with gr.Tab("Audio Separation"):
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with gr.Row():
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input_audio = gr.Audio(source="upload", type="filepath", label="Upload Audio File")
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output_dir = gr.Textbox(value="/content/output", label="Output Directory")
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with gr.Row():
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model_voc_inst = gr.Textbox(value='model_bs_roformer_ep_317_sdr_12.9755.ckpt', label="Vocal & Instrumental Model")
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model_deecho = gr.Textbox(value='UVR-DeEcho-DeReverb.pth', label="DeEcho-DeReverb Model")
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model_back_voc = gr.Textbox(value='mel_band_roformer_karaoke_aufr33_viperx_sdr_10.1956.ckpt', label="Backing Vocals Model")
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separate_button = gr.Button("Separate Audio")
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with gr.Row():
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instrumental_out = gr.Audio(label="Instrumental")
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vocals_out = gr.Audio(label="Vocals")
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vocals_reverb_out = gr.Audio(label="Vocals (Reverb)")
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vocals_no_reverb_out = gr.Audio(label="Vocals (No Reverb)")
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lead_vocals_out = gr.Audio(label="Lead Vocals")
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backing_vocals_out = gr.Audio(label="Backing Vocals")
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separate_button.click(
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separate_audio,
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inputs=[input_audio, output_dir, model_voc_inst, model_deecho, model_back_voc],
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outputs=[instrumental_out, vocals_out, vocals_reverb_out, vocals_no_reverb_out, lead_vocals_out, backing_vocals_out]
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)
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with gr.Tab("Inference"):
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with gr.Row():
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MODEL_NAME = gr.Textbox(label="Model Name", placeholder="Enter model name")
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@@ -160,5 +164,49 @@ with gr.Blocks(title="Hex RVC") as app:
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outputs=output_audio
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)
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# Launch the Gradio app
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app.launch()
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import os
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import re
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import random
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from scipy.io.wavfile import write
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from scipy.io.wavfile import read
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import numpy as np
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import gradio as gr
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import yt_dlp
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import subprocess
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from pydub import AudioSegment
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from audio_separator.separator import Separator
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from lib.infer import infer_audio
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def download_audio(url):
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ydl_opts = {
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'format': 'bestaudio/best',
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'outtmpl': 'ytdl/%(title)s.%(ext)s',
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'postprocessors': [{
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'key': 'FFmpegExtractAudio',
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'preferredcodec': 'wav',
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'preferredquality': '192',
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}],
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}
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with yt_dlp.YoutubeDL(ydl_opts) as ydl:
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info_dict = ydl.extract_info(url, download=True)
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file_path = ydl.prepare_filename(info_dict).rsplit('.', 1)[0] + '.wav'
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sample_rate, audio_data = read(file_path)
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audio_array = np.asarray(audio_data, dtype=np.int16)
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return sample_rate, audio_array
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# Define a function to handle the entire separation process
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def separate_audio(input_audio, output_dir, model_voc_inst, model_deecho, model_back_voc):
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# Create output directory if it doesn't exist
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with gr.Blocks(title="Hex RVC") as app:
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gr.Markdown("# Hex RVC")
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with gr.Tab("Inference"):
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with gr.Row():
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MODEL_NAME = gr.Textbox(label="Model Name", placeholder="Enter model name")
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outputs=output_audio
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)
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with gr.Tab("Audio Separation"):
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with gr.Row():
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input_audio = gr.Audio(source="upload", type="filepath", label="Upload Audio File")
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output_dir = gr.Textbox(value="/content/output", label="Output Directory")
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with gr.Accordion("Separation by Link", open = False):
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with gr.Row():
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roformer_link = gr.Textbox(
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label = "Link",
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placeholder = "Paste the link here",
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interactive = True
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)
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with gr.Row():
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gr.Markdown("You can paste the link to the video/audio from many sites, check the complete list [here](https://github.com/yt-dlp/yt-dlp/blob/master/supportedsites.md)")
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with gr.Row():
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roformer_download_button = gr.Button(
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"Download!",
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variant = "primary"
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)
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roformer_download_button.click(download_audio, [roformer_link], [input_audio])
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with gr.Row():
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model_voc_inst = gr.Textbox(value='model_bs_roformer_ep_317_sdr_12.9755.ckpt', label="Vocal & Instrumental Model")
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model_deecho = gr.Textbox(value='UVR-DeEcho-DeReverb.pth', label="DeEcho-DeReverb Model")
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model_back_voc = gr.Textbox(value='mel_band_roformer_karaoke_aufr33_viperx_sdr_10.1956.ckpt', label="Backing Vocals Model")
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separate_button = gr.Button("Separate Audio")
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with gr.Row():
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instrumental_out = gr.Audio(label="Instrumental")
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vocals_out = gr.Audio(label="Vocals")
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vocals_reverb_out = gr.Audio(label="Vocals (Reverb)")
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vocals_no_reverb_out = gr.Audio(label="Vocals (No Reverb)")
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lead_vocals_out = gr.Audio(label="Lead Vocals")
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backing_vocals_out = gr.Audio(label="Backing Vocals")
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separate_button.click(
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separate_audio,
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inputs=[input_audio, output_dir, model_voc_inst, model_deecho, model_back_voc],
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outputs=[instrumental_out, vocals_out, vocals_reverb_out, vocals_no_reverb_out, lead_vocals_out, backing_vocals_out]
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)
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# Launch the Gradio app
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app.launch()
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