Delete app.py

app.py

@@ -1,63 +0,0 @@
-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_23000.pth"
-config_name = "configs/config.json"
-
-svc_model = Svc(model_name, config_name)
-sid_map = {
-    "kazunaAI": "kazunaAI"
-}
-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无数梦境的在线demo，由猫雷版本改写而来。
-
-                如果要训练自己的数据请访问 [github仓库](https://github.com/innnky/so-vits-svc)
-                
-                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
-                
-                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=['kazunaAI'], value="kazunaAI")
-            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()