Spaces:
Running
on
CPU Upgrade
Running
on
CPU Upgrade
feat(app): ui overhaul
Browse files- app-full.py +62 -36
- app.py +8 -7
- weights/anime/model_info.json +10 -0
- weights/anime/sistine-fibel/added_IVF412_Flat_nprobe_1.index +3 -0
- weights/anime/sistine-fibel/cover.png +3 -0
- weights/anime/sistine-fibel/sistine-fibel.pth +3 -0
- weights/folder_info.json +7 -1
- weights/genshin-impact/klee-jp/added_IVF1036_Flat_nprobe_1.index +3 -0
- weights/genshin-impact/klee-jp/cover.png +3 -0
- weights/genshin-impact/klee-jp/klee-jp.pth +3 -0
- weights/genshin-impact/model_info.json +8 -0
app-full.py
CHANGED
@@ -75,40 +75,61 @@ def create_vc_fn(tgt_sr, net_g, vc, if_f0, file_index):
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print(
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f"[{datetime.now().strftime('%Y-%m-%d %H:%M')}]: npy: {times[0]}, f0: {times[1]}s, infer: {times[2]}s"
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)
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return
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except:
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info = traceback.format_exc()
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print(info)
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return info, (None, None)
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return vc_fn
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def cut_vocal_and_inst(
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if
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if not os.path.exists("
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os.mkdir("
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-
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'format': 'bestaudio/best',
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'postprocessors': [{
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'key': 'FFmpegExtractAudio',
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'preferredcodec': 'wav',
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}],
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"outtmpl": 'youtube_audio
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def combine_vocal_and_inst(audio_data, audio_volume):
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with wave.open(vocal_path, "w") as wave_file:
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wave_file.setnchannels(1)
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wave_file.setsampwidth(2)
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@@ -116,6 +137,7 @@ def combine_vocal_and_inst(audio_data, audio_volume):
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wave_file.writeframes(audio_data[1].tobytes())
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command = f'ffmpeg -y -i {inst_path} -i {vocal_path} -filter_complex [1:a]volume={audio_volume}dB[v];[0:a][v]amix=inputs=2:duration=longest -b:a 320k -c:a libmp3lame {output_path}'
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result = subprocess.run(command.split(), stdout=subprocess.PIPE)
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return output_path
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def load_hubert():
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@@ -191,7 +213,7 @@ if __name__ == '__main__':
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categories.append([category_title, category_folder, description, models])
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with gr.Blocks() as app:
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gr.Markdown(
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"# <center> RVC Models
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"## <center> The input audio should be clean and pure voice without background music.\n"
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"### <center> This project was inspired by [zomehwh](https://huggingface.co/spaces/zomehwh/rvc-models) and [ardha27](https://huggingface.co/spaces/ardha27/rvc-models)\n"
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"[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/110kiMZTdP6Ri1lY9-NbQf17GVPPhHyeT?usp=sharing)\n\n"
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@@ -218,21 +240,24 @@ if __name__ == '__main__':
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)
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with gr.Row():
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with gr.Column():
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-
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-
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vc_vocal_preview = gr.Audio(label="Vocal Preview")
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vc_inst_preview = gr.Audio(label="Instrumental Preview")
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vc_audio_preview = gr.Audio(label="Audio Preview")
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with gr.Column():
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vc_input = gr.Textbox(label="Input audio path")
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vc_upload = gr.Audio(label="Upload audio file", visible=False, interactive=True)
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-
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vc_transpose = gr.Number(label="Transpose", value=0)
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vc_f0method = gr.Radio(
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label="Pitch extraction algorithm
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choices=["pm", "harvest"],
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value="pm",
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interactive=True,
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)
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vc_index_ratio = gr.Slider(
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minimum=0,
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@@ -240,13 +265,13 @@ if __name__ == '__main__':
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label="Retrieval feature ratio",
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value=0.6,
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interactive=True,
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)
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tts_mode = gr.Checkbox(label="tts (use edge-tts as input)", value=False)
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tts_text = gr.Textbox(visible=False,label="TTS text (100 words limitation)" if limitation else "TTS text")
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tts_voice = gr.Dropdown(label="Edge-tts speaker", choices=voices, visible=False, allow_custom_value=False, value="en-US-AnaNeural-Female")
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-
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-
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vc_submit = gr.Button("Generate", variant="primary")
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with gr.Column():
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vc_volume = gr.Slider(
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minimum=0,
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@@ -254,13 +279,14 @@ if __name__ == '__main__':
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label="Vocal volume",
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value=4,
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interactive=True,
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step=1
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)
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vc_combine = gr.Button("Combine",variant="primary")
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vc_submit.click(vc_fn, [vc_input, vc_upload, upload_mode, vc_transpose, vc_f0method, vc_index_ratio, tts_mode, tts_text, tts_voice], [
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-
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vc_combine.click(combine_vocal_and_inst, [
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tts_mode.change(change_to_tts_mode, [tts_mode, upload_mode], [vc_input, vc_upload, upload_mode, tts_text, tts_voice])
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upload_mode.change(change_to_upload_mode, [upload_mode], [vc_input, vc_upload])
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app.queue(concurrency_count=1, max_size=20, api_open=config.api).launch(share=config.colab)
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print(
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f"[{datetime.now().strftime('%Y-%m-%d %H:%M')}]: npy: {times[0]}, f0: {times[1]}s, infer: {times[2]}s"
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)
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return (tgt_sr, audio_opt)
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except:
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info = traceback.format_exc()
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print(info)
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return info, (None, None)
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return vc_fn
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+
def cut_vocal_and_inst(url, audio_provider, split_model):
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if url != "":
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if not os.path.exists("dl_audio"):
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os.mkdir("dl_audio")
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if audio_provider == "Youtube":
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ydl_opts = {
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'format': 'bestaudio/best',
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'postprocessors': [{
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'key': 'FFmpegExtractAudio',
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'preferredcodec': 'wav',
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}],
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+
"outtmpl": 'dl_audio/youtube_audio',
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}
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with yt_dlp.YoutubeDL(ydl_opts) as ydl:
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ydl.download([url])
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audio_path = "dl_audio/youtube_audio.wav"
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else:
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# Spotify doesnt work.
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# Need to find other solution soon.
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'''
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command = f"spotdl download {url} --output dl_audio/.wav"
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result = subprocess.run(command.split(), stdout=subprocess.PIPE)
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print(result.stdout.decode())
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audio_path = "dl_audio/spotify_audio.wav"
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'''
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if split_model == "htdemucs":
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command = f"demucs --two-stems=vocals {audio_path} -o output"
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result = subprocess.run(command.split(), stdout=subprocess.PIPE)
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print(result.stdout.decode())
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return "output/htdemucs/youtube_audio/vocals.wav", "output/htdemucs/youtube_audio/no_vocals.wav", audio_path, "output/htdemucs/youtube_audio/vocals.wav"
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else:
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command = f"demucs --two-stems=vocals -n mdx_extra_q {audio_path} -o output"
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result = subprocess.run(command.split(), stdout=subprocess.PIPE)
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print(result.stdout.decode())
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return "output/mdx_extra_q/youtube_audio/vocals.wav", "output/mdx_extra_q/youtube_audio/no_vocals.wav", audio_path, "output/mdx_extra_q/youtube_audio/vocals.wav"
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else:
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raise gr.Error("URL Required!")
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return None, None, None, None
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def combine_vocal_and_inst(audio_data, audio_volume, split_model):
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if not os.path.exists("output/result"):
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os.mkdir("output/result")
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vocal_path = "output/result/output.wav"
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output_path = "output/result/combine.mp3"
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if split_model == "htdemucs":
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inst_path = "output/htdemucs/youtube_audio/no_vocals.wav"
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else:
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inst_path = "output/mdx_extra_q/youtube_audio/no_vocals.wav"
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with wave.open(vocal_path, "w") as wave_file:
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wave_file.setnchannels(1)
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wave_file.setsampwidth(2)
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wave_file.writeframes(audio_data[1].tobytes())
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command = f'ffmpeg -y -i {inst_path} -i {vocal_path} -filter_complex [1:a]volume={audio_volume}dB[v];[0:a][v]amix=inputs=2:duration=longest -b:a 320k -c:a libmp3lame {output_path}'
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result = subprocess.run(command.split(), stdout=subprocess.PIPE)
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print(result.stdout.decode())
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return output_path
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def load_hubert():
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categories.append([category_title, category_folder, description, models])
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with gr.Blocks() as app:
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gr.Markdown(
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+
"# <center> RVC Models\n"
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"## <center> The input audio should be clean and pure voice without background music.\n"
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"### <center> This project was inspired by [zomehwh](https://huggingface.co/spaces/zomehwh/rvc-models) and [ardha27](https://huggingface.co/spaces/ardha27/rvc-models)\n"
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"[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/110kiMZTdP6Ri1lY9-NbQf17GVPPhHyeT?usp=sharing)\n\n"
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)
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with gr.Row():
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with gr.Column():
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+
vc_download_audio = gr.Dropdown(label="Provider", choices=["Youtube"], allow_custom_value=False, value="Youtube", info="Select provider [REQUIRED: UPLOAD MODE = OFF] (Default: Youtube)")
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vc_link = gr.Textbox(label="Youtube URL", info="Example: https://www.youtube.com/watch?v=Nc0sB1Bmf-A")
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vc_split_model = gr.Dropdown(label="Splitter Model", choices=["htdemucs", "mdx_extra_q"], allow_custom_value=False, value="htdemucs", info="Select the splitter model (Default: htdemucs)")
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vc_split = gr.Button("Split Audio", variant="primary")
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vc_vocal_preview = gr.Audio(label="Vocal Preview")
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vc_inst_preview = gr.Audio(label="Instrumental Preview")
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vc_audio_preview = gr.Audio(label="Audio Preview")
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with gr.Column():
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+
upload_mode = gr.Checkbox(label="Upload mode", value=False, info="Enable to upload audio instead of audio path")
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vc_input = gr.Textbox(label="Input audio path")
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vc_upload = gr.Audio(label="Upload audio file", visible=False, interactive=True)
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+
vc_transpose = gr.Number(label="Transpose", value=0, info='Type "12" to change from male to female voice. Type "-12" to change female to male voice')
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vc_f0method = gr.Radio(
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+
label="Pitch extraction algorithm",
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choices=["pm", "harvest"],
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value="pm",
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interactive=True,
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+
info="PM is fast but Harvest is better for low frequencies. (Default: PM)"
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)
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vc_index_ratio = gr.Slider(
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minimum=0,
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label="Retrieval feature ratio",
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value=0.6,
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interactive=True,
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+
info="(Default: 0.6)"
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)
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tts_mode = gr.Checkbox(label="tts (use edge-tts as input)", value=False)
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tts_text = gr.Textbox(visible=False,label="TTS text (100 words limitation)" if limitation else "TTS text")
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tts_voice = gr.Dropdown(label="Edge-tts speaker", choices=voices, visible=False, allow_custom_value=False, value="en-US-AnaNeural-Female")
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+
vc_output = gr.Audio(label="Output Audio", interactive=False)
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+
vc_submit = gr.Button("Convert", variant="primary")
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with gr.Column():
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vc_volume = gr.Slider(
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minimum=0,
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label="Vocal volume",
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value=4,
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interactive=True,
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+
step=1,
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+
info="Adjust vocal volume (Default: 4}"
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)
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+
vc_combined_output = gr.Audio(label="Output Combined Audio")
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vc_combine = gr.Button("Combine",variant="primary")
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+
vc_submit.click(vc_fn, [vc_input, vc_upload, upload_mode, vc_transpose, vc_f0method, vc_index_ratio, tts_mode, tts_text, tts_voice], [vc_output])
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+
vc_split.click(cut_vocal_and_inst, [vc_link, vc_download_audio, vc_split_model], [vc_vocal_preview, vc_inst_preview, vc_audio_preview, vc_input])
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+
vc_combine.click(combine_vocal_and_inst, [vc_output, vc_volume, vc_split_model], vc_combined_output)
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tts_mode.change(change_to_tts_mode, [tts_mode, upload_mode], [vc_input, vc_upload, upload_mode, tts_text, tts_voice])
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upload_mode.change(change_to_upload_mode, [upload_mode], [vc_input, vc_upload])
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app.queue(concurrency_count=1, max_size=20, api_open=config.api).launch(share=config.colab)
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app.py
CHANGED
@@ -67,7 +67,7 @@ def create_vc_fn(tgt_sr, net_g, vc, if_f0, file_index):
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print(
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f"[{datetime.now().strftime('%Y-%m-%d %H:%M')}]: npy: {times[0]}, f0: {times[1]}s, infer: {times[2]}s"
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)
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return
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except:
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info = traceback.format_exc()
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print(info)
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@@ -138,7 +138,7 @@ if __name__ == '__main__':
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categories.append([category_title, category_folder, description, models])
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with gr.Blocks() as app:
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gr.Markdown(
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-
"# <center> RVC Models
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"## <center> The input audio should be clean and pure voice without background music.\n"
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"### <center> This project was inspired by [zomehwh](https://huggingface.co/spaces/zomehwh/rvc-models) and [ardha27](https://huggingface.co/spaces/ardha27/rvc-models)\n"
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"[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/110kiMZTdP6Ri1lY9-NbQf17GVPPhHyeT?usp=sharing)\n\n"
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@@ -167,12 +167,13 @@ if __name__ == '__main__':
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with gr.Row():
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with gr.Column():
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vc_input = gr.Audio(label="Input audio"+' (less than 20 seconds)' if limitation else '')
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-
vc_transpose = gr.Number(label="Transpose", value=0)
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vc_f0method = gr.Radio(
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label="Pitch extraction algorithm
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choices=["pm", "harvest"],
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value="pm",
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interactive=True,
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)
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vc_index_ratio = gr.Slider(
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minimum=0,
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@@ -180,14 +181,14 @@ if __name__ == '__main__':
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label="Retrieval feature ratio",
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value=0.6,
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interactive=True,
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)
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tts_mode = gr.Checkbox(label="tts (use edge-tts as input)", value=False)
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185 |
tts_text = gr.Textbox(visible=False,label="TTS text (100 words limitation)" if limitation else "TTS text")
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186 |
tts_voice = gr.Dropdown(label="Edge-tts speaker", choices=voices, visible=False, allow_custom_value=False, value="en-US-AnaNeural-Female")
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187 |
vc_submit = gr.Button("Generate", variant="primary")
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188 |
with gr.Column():
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189 |
-
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-
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vc_submit.click(vc_fn, [vc_input, vc_transpose, vc_f0method, vc_index_ratio, tts_mode, tts_text, tts_voice], [vc_output1, vc_output2])
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tts_mode.change(change_to_tts_mode, [tts_mode], [vc_input, tts_text, tts_voice])
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app.queue(concurrency_count=1, max_size=20, api_open=config.api).launch(share=config.colab)
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67 |
print(
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f"[{datetime.now().strftime('%Y-%m-%d %H:%M')}]: npy: {times[0]}, f0: {times[1]}s, infer: {times[2]}s"
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)
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70 |
+
return (tgt_sr, audio_opt)
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except:
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info = traceback.format_exc()
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73 |
print(info)
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138 |
categories.append([category_title, category_folder, description, models])
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with gr.Blocks() as app:
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140 |
gr.Markdown(
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141 |
+
"# <center> RVC Models\n"
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"## <center> The input audio should be clean and pure voice without background music.\n"
|
143 |
"### <center> This project was inspired by [zomehwh](https://huggingface.co/spaces/zomehwh/rvc-models) and [ardha27](https://huggingface.co/spaces/ardha27/rvc-models)\n"
|
144 |
"[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/110kiMZTdP6Ri1lY9-NbQf17GVPPhHyeT?usp=sharing)\n\n"
|
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|
167 |
with gr.Row():
|
168 |
with gr.Column():
|
169 |
vc_input = gr.Audio(label="Input audio"+' (less than 20 seconds)' if limitation else '')
|
170 |
+
vc_transpose = gr.Number(label="Transpose", value=0, info='Type "12" to change from male to female voice. Type "-12" to change female to male voice')
|
171 |
vc_f0method = gr.Radio(
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172 |
+
label="Pitch extraction algorithm",
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173 |
choices=["pm", "harvest"],
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174 |
value="pm",
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175 |
interactive=True,
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176 |
+
info="PM is fast but Harvest is better for low frequencies. (Default: PM)"
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177 |
)
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178 |
vc_index_ratio = gr.Slider(
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179 |
minimum=0,
|
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|
181 |
label="Retrieval feature ratio",
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182 |
value=0.6,
|
183 |
interactive=True,
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184 |
+
info="(Default: 0.6)"
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185 |
)
|
186 |
tts_mode = gr.Checkbox(label="tts (use edge-tts as input)", value=False)
|
187 |
tts_text = gr.Textbox(visible=False,label="TTS text (100 words limitation)" if limitation else "TTS text")
|
188 |
tts_voice = gr.Dropdown(label="Edge-tts speaker", choices=voices, visible=False, allow_custom_value=False, value="en-US-AnaNeural-Female")
|
189 |
vc_submit = gr.Button("Generate", variant="primary")
|
190 |
with gr.Column():
|
191 |
+
vc_output = gr.Audio(label="Output Audio")
|
192 |
+
vc_submit.click(vc_fn, [vc_input, vc_transpose, vc_f0method, vc_index_ratio, tts_mode, tts_text, tts_voice], [vc_output])
|
|
|
193 |
tts_mode.change(change_to_tts_mode, [tts_mode], [vc_input, tts_text, tts_voice])
|
194 |
app.queue(concurrency_count=1, max_size=20, api_open=config.api).launch(share=config.colab)
|
weights/anime/model_info.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"sistine-fibel": {
|
3 |
+
"enable": true,
|
4 |
+
"name": "sistine-fibel",
|
5 |
+
"title": "Rokudenashi Majutsu Koushi to Akashic Records - Sistine Fibel",
|
6 |
+
"cover": "cover.png",
|
7 |
+
"feature_retrieval_library": "added_IVF412_Flat_nprobe_1.index",
|
8 |
+
"author":"baguss"
|
9 |
+
}
|
10 |
+
}
|
weights/anime/sistine-fibel/added_IVF412_Flat_nprobe_1.index
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:21fa6e62422d5ee20a6ce0ad0fb1f6017fb0725bae06ad6a564ba10597fcfc2a
|
3 |
+
size 17032267
|
weights/anime/sistine-fibel/cover.png
ADDED
![]() |
Git LFS Details
|
weights/anime/sistine-fibel/sistine-fibel.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:eb5c1243c98d85a4c6da69aedbbe805cffc5447bf2f26d47b145114acee29397
|
3 |
+
size 55026095
|
weights/folder_info.json
CHANGED
@@ -3,6 +3,12 @@
|
|
3 |
"enable": true,
|
4 |
"title": "Genshin Impact",
|
5 |
"folder_path": "genshin-impact",
|
6 |
-
"description": ""
|
|
|
|
|
|
|
|
|
|
|
|
|
7 |
}
|
8 |
}
|
|
|
3 |
"enable": true,
|
4 |
"title": "Genshin Impact",
|
5 |
"folder_path": "genshin-impact",
|
6 |
+
"description": "Models from [RVC Genshin Impact](https://huggingface.co/ArkanDash/rvc-genshin-impact)"
|
7 |
+
},
|
8 |
+
"anime":{
|
9 |
+
"enable": true,
|
10 |
+
"title": "Anime",
|
11 |
+
"folder_path": "anime",
|
12 |
+
"description": "Models from [RVC Rokudenashi Akashic Records](https://huggingface.co/baguss/RVC_Rokudenashi_Akashic_Records)"
|
13 |
}
|
14 |
}
|
weights/genshin-impact/klee-jp/added_IVF1036_Flat_nprobe_1.index
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:aea4838e463962216484dcbd42804eb0ef61f59b5a596afa20aae4e37df79b21
|
3 |
+
size 42770347
|
weights/genshin-impact/klee-jp/cover.png
ADDED
![]() |
Git LFS Details
|
weights/genshin-impact/klee-jp/klee-jp.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:207e17307ea789211b670d5db1fc5b1072716fa74323557dd70818aac2c878d4
|
3 |
+
size 55026095
|
weights/genshin-impact/model_info.json
CHANGED
@@ -87,6 +87,14 @@
|
|
87 |
"feature_retrieval_library": "added_IVF2062_Flat_nprobe_1.index",
|
88 |
"author":"ArkanDash"
|
89 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
90 |
"fischl-jp": {
|
91 |
"enable": true,
|
92 |
"name": "fischl-jp",
|
|
|
87 |
"feature_retrieval_library": "added_IVF2062_Flat_nprobe_1.index",
|
88 |
"author":"ArkanDash"
|
89 |
},
|
90 |
+
"klee-jp": {
|
91 |
+
"enable": true,
|
92 |
+
"name": "klee-jp",
|
93 |
+
"title": "Genshin Impact - Klee",
|
94 |
+
"cover": "cover.png",
|
95 |
+
"feature_retrieval_library": "added_IVF1036_Flat_nprobe_1.index",
|
96 |
+
"author":"ArkanDash"
|
97 |
+
},
|
98 |
"fischl-jp": {
|
99 |
"enable": true,
|
100 |
"name": "fischl-jp",
|