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| from inference.infer_tool_grad import VitsSvc | |
| import gradio as gr | |
| import os | |
| class VitsGradio: | |
| def __init__(self): | |
| self.so = VitsSvc() | |
| self.lspk = [] | |
| self.modelPaths = [] | |
| for root,dirs,files in os.walk("checkpoints"): | |
| for dir in dirs: | |
| self.modelPaths.append(dir) | |
| with gr.Blocks() as self.Vits: | |
| with gr.Tab("VoiceConversion"): | |
| with gr.Row(visible=False) as self.VoiceConversion: | |
| with gr.Column(): | |
| with gr.Row(): | |
| with gr.Column(): | |
| self.srcaudio = gr.Audio(label = "输入音频") | |
| self.btnVC = gr.Button("说话人转换") | |
| with gr.Column(): | |
| self.dsid = gr.Dropdown(label = "目标角色", choices = self.lspk) | |
| self.tran = gr.Slider(label = "升降调", maximum = 60, minimum = -60, step = 1, value = 0) | |
| self.th = gr.Slider(label = "切片阈值", maximum = 32767, minimum = -32768, step = 0.1, value = -40) | |
| with gr.Row(): | |
| self.VCOutputs = gr.Audio() | |
| self.btnVC.click(self.so.inference, inputs=[self.srcaudio,self.dsid,self.tran,self.th], outputs=[self.VCOutputs]) | |
| with gr.Tab("SelectModel"): | |
| with gr.Column(): | |
| modelstrs = gr.Dropdown(label = "模型", choices = self.modelPaths, value = self.modelPaths[0], type = "value") | |
| devicestrs = gr.Dropdown(label = "设备", choices = ["cpu","cuda"], value = "cpu", type = "value") | |
| btnMod = gr.Button("载入模型") | |
| btnMod.click(self.loadModel, inputs=[modelstrs,devicestrs], outputs = [self.dsid,self.VoiceConversion]) | |
| def loadModel(self, path, device): | |
| self.lspk = [] | |
| self.so.set_device(device) | |
| self.so.loadCheckpoint(path) | |
| for spk, sid in self.so.hps.spk.items(): | |
| self.lspk.append(spk) | |
| VChange = gr.update(visible = True) | |
| SDChange = gr.update(choices = self.lspk, value = self.lspk[0]) | |
| return [SDChange,VChange] | |
| grVits = VitsGradio() | |
| grVits.Vits.launch(share = True) |