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# Copyright (c) 2023 Amphion.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import gradio as gr
import os
import inference
SUPPORTED_TARGET_SINGERS = {
"Adele": "vocalist_l1_Adele",
"Beyonce": "vocalist_l1_Beyonce",
"Bruno Mars": "vocalist_l1_BrunoMars",
"John Mayer": "vocalist_l1_JohnMayer",
"Michael Jackson": "vocalist_l1_MichaelJackson",
"Taylor Swift": "vocalist_l1_TaylorSwift",
"Jacky Cheung 张学友": "vocalist_l1_张学友",
"Jian Li 李健": "vocalist_l1_李健",
"Feng Wang 汪峰": "vocalist_l1_汪峰",
"Faye Wong 王菲": "vocalist_l1_王菲",
"Yijie Shi 石倚洁": "vocalist_l1_石倚洁",
"Tsai Chin 蔡琴": "vocalist_l1_蔡琴",
"Ying Na 那英": "vocalist_l1_那英",
"Eason Chan 陈奕迅": "vocalist_l1_陈奕迅",
"David Tao 陶喆": "vocalist_l1_陶喆",
}
def svc_inference(
source_audio_path,
target_singer,
key_shift_mode="Auto Shift",
key_shift_num=0,
diffusion_steps=1000,
):
#### Prepare source audio file ####
print("source_audio_path: {}".format(source_audio_path))
audio_file = source_audio_path.split("/")[-1]
audio_name = audio_file.split(".")[0]
source_audio_dir = source_audio_path.replace(audio_file, "")
### Target Singer ###
target_singer = SUPPORTED_TARGET_SINGERS[target_singer]
### Inference ###
if key_shift_mode == "Auto Shift":
key_shift = "autoshift"
else:
key_shift = key_shift_num
args_list = ["--config", "ckpts/svc/vocalist_l1_contentvec+whisper/args.json"]
args_list += ["--acoustics_dir", "ckpts/svc/vocalist_l1_contentvec+whisper"]
args_list += ["--vocoder_dir", "pretrained/bigvgan"]
args_list += ["--target_singer", target_singer]
args_list += ["--trans_key", str(key_shift)]
args_list += ["--diffusion_inference_steps", str(diffusion_steps)]
args_list += ["--source", source_audio_dir]
args_list += ["--output_dir", "result"]
args_list += ["--log_level", "debug"]
os.environ["WORK_DIR"] = "./"
inference.main(args_list)
### Display ###
result_file = os.path.join(
"result/{}/{}_{}.wav".format(audio_name, audio_name, target_singer)
)
return result_file
demo_inputs = [
gr.Audio(
sources=["upload", "microphone"],
label="Upload (or record) a song you want to listen",
type="filepath",
),
gr.Radio(
choices=list(SUPPORTED_TARGET_SINGERS.keys()),
label="Target Singer",
value="Jian Li 李健",
),
gr.Radio(
choices=["Auto Shift", "Key Shift"],
value="Auto Shift",
label="Pitch Shift Control",
info='If you want to control the specific pitch shift value, you need to choose "Key Shift"',
),
gr.Slider(
-6,
6,
value=0,
step=1,
label="Key Shift Values",
info='How many semitones you want to transpose. This parameter will work only if you choose "Key Shift"',
),
gr.Slider(
1,
1000,
value=1000,
step=1,
label="Diffusion Inference Steps",
info="As the step number increases, the synthesis quality will be better while the inference speed will be lower",
),
]
demo_outputs = gr.Audio(label="")
demo = gr.Interface(
fn=svc_inference,
inputs=demo_inputs,
outputs=demo_outputs,
title="Amphion Singing Voice Conversion",
)
if __name__ == "__main__":
demo.launch(show_api=False)
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