Upload app.py

app.py

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+import io
+
+import gradio as gr
+import librosa
+import numpy as np
+import soundfile
+import torch
+from inference.infer_tool import Svc
+import logging
+
+logging.getLogger('numba').setLevel(logging.WARNING)
+
+model_name = "logs/32k/G_98000.pth"
+config_name = "configs/config.json"
+
+svc_model = Svc(model_name, config_name)
+sid_map = {
+    "Ztech": "Ztech"
+}
+
+
+def vc_fn(sid, input_audio, vc_transform):
+    if input_audio is None:
+        return "You need to upload an audio", None
+    sampling_rate, audio = input_audio
+    # print(audio.shape,sampling_rate)
+    duration = audio.shape[0] / sampling_rate
+    if duration > 45:
+        return "请上传小于45s的音频，需要转换长音频请本地进行转换", None
+    audio = (audio / np.iinfo(audio.dtype).max).astype(np.float32)
+    if len(audio.shape) > 1:
+        audio = librosa.to_mono(audio.transpose(1, 0))
+    if sampling_rate != 16000:
+        audio = librosa.resample(audio, orig_sr=sampling_rate, target_sr=16000)
+    print(audio.shape)
+    out_wav_path = io.BytesIO()
+    soundfile.write(out_wav_path, audio, 16000, format="wav")
+    out_wav_path.seek(0)
+
+    sid = sid_map[sid]
+    out_audio, out_sr = svc_model.infer(sid, vc_transform, out_wav_path)
+    _audio = out_audio.cpu().numpy()
+    return "Success", (32000, _audio)
+
+
+app = gr.Blocks()
+with app:
+    with gr.Tabs():
+        with gr.TabItem("Basic"):
+            gr.Markdown(value="""
+                这是sovits 3.0 32khz版本ai粘连科技的在线demo
+
+                人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人人
+
+                在使用此模型前请阅读[AI粘连科技模型使用协议](https://huggingface.co/spaces/reha/Stick_Tech/blob/main/terms.md)
+
+                YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY
+
+                粘连科技Official@bilibili：[点击关注](https://space.bilibili.com/248582596)
+                
+                如果要在本地使用该demo，请使用git lfs clone 该仓库，安装requirements.txt后运行app.py即可
+                
+                项目改写基于 https://huggingface.co/spaces/innnky/nyaru-svc-3.0
+                
+                本地合成可以删除26、27两行代码以解除合成45s长度限制""")
+            sid = gr.Dropdown(label="音色", choices=["Ztech"], value="Ztech")
+            vc_input3 = gr.Audio(label="上传音频（长度小于45秒）")
+            vc_transform = gr.Number(label="变调（整数，可以正负，半音数量，升高八度就是12）", value=0)
+            vc_submit = gr.Button("转换", variant="primary")
+            vc_output1 = gr.Textbox(label="Output Message")
+            vc_output2 = gr.Audio(label="Output Audio")
+        vc_submit.click(vc_fn, [sid, vc_input3, vc_transform], [vc_output1, vc_output2])
+
+    app.launch()