Create app.py

app.py

@@ -0,0 +1,86 @@
+from utils.hparams import hparams
+import scipy.io.wavfile as wav
+import numpy as np
+import matplotlib.pyplot as plt
+import IPython.display as ipd
+import utils
+import librosa
+import torchcrepe
+from infer import *
+import logging
+from infer_tools.infer_tool import *
+import gradio as gr
+import json
+
+logging.getLogger('numba').setLevel(logging.WARNING)
+svc_model = None
+project_name = "aqua"
+wave_name = f"./temp.wav"
+model_path = f'./aqua/clean_model_ckpt_steps_100000.ckpt'
+config_path = f'./aqua/config.yaml'
+spk_id = "aqua"
+
+def infer(hubert_gpu, wav_fn, tran, accelerate, auto_key):
+
+    model = Svc(project_name, config_path, hubert_gpu, model_path, onnx=False)
+
+    if wav_fn is not None:
+        audio_path = wav_fn
+    else:
+        return "请先上传wav格式的音频文件", None, None
+    run_clip(raw_audio_path=audio_path, svc_model=model, key=tran, acc=accelerate, use_crepe=True,
+                 spk_id=spk_id, auto_key=auto_key, project_name=project_name, out_path=wave_name)
+
+    au_out = wave_name
+
+    return "转换成功", au_out
+
+app = gr.Blocks()
+with app:
+    with gr.Tabs():
+        with gr.TabItem("推理"):
+            with gr.Blocks():
+                with gr.Blocks():
+                    with gr.Box():
+                        gr.Markdown(value="""**上传音频**""")
+                        with gr.Row():
+                            upload_input = gr.Audio(source="upload", label="源音频", type="filepath", elem_id="audio_inputs")
+                            out_audio = gr.Audio(label="输出音频")
+                with gr.Blocks():
+                    with gr.Box():
+                        gr.Markdown(value="""**参数设置**""")
+                        with gr.Row():
+                            use_gpu = gr.Checkbox(label="启用GPU加速（需CUDA）", value=True)
+                            auto = gr.Checkbox(label="启用自动变调", value=False)
+                        with gr.Row():
+                            acc_vaule = gr.Slider(1, 50, value=20, interactive=True, label="加速倍率")
+                        with gr.Row():
+                            pitch_vaule = gr.Slider(-96, 96, value=0, interactive=True, label="变调（半音）")
+                        with gr.Row():
+                            with gr.Column(scale=1):
+                                infer_md = gr.Button("转换音频", variant="primary")
+                with gr.Blocks():
+                    with gr.Box():
+                        gr.Markdown(value="""**输出日志**""")
+                        infer_msg = gr.Textbox(label="日志")
+            infer_md.click(infer, [use_gpu, upload_input, pitch_vaule, acc_vaule, auto], [infer_msg, out_audio])
+        with gr.TabItem("协议"):
+            gr.Markdown(value="""
+                此为上传文件推理用GUI，需要变声功能请使用变声器\n
+                原项目地址：https://github.com/openvpi/diff-svc\n
+                代码修改：@ChrisPreston\n
+                模型训练：@ChrisPreston\n
+                音源：Aqua Ch. 湊あくあ https://www.youtube.com/@MinatoAqua カバー株式会社\n
+                模型使用协议（重要）：\n
+                1.请勿用于商业目的\n
+                2.请勿用于会影响主播本人的行为（比如冒充本人发表争议言论）\n
+                3.请勿用于血腥、暴力、性相关、政治相关内容\n
+                4.不允许二次分发模型\n
+                5.非个人使用场合请注明模型作者@ChrisPreston以及diff-svc原项目\n
+                6.允许用于个人娱乐场景下的游戏语音、直播活动，不得用于低创内容，用于直播前请与本人联系\n
+                联系方式：电邮：[email protected], b站：https://space.bilibili.com/18801308\n
+                免责声明：由于使用本模型造成的法律纠纷本人概不负责
+            """)
+
+    app.launch(share=False)
+