Upload Untitled3.ipynb

Untitled3.ipynb

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+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "UwLzq2KIIYlC"
+      },
+      "outputs": [],
+      "source": [
+        "import io\n",
+        "import os\n",
+        "\n",
+        "os.system(\"wget -P hubert/ https://huggingface.co/spaces/MarcusSu1216/XingTong/blob/main/hubert/checkpoint_best_legacy_500.pt\")\n",
+        "import gradio as gr\n",
+        "import librosa\n",
+        "import numpy as np\n",
+        "import soundfile\n",
+        "from inference.infer_tool import Svc\n",
+        "import logging\n",
+        "\n",
+        "logging.getLogger('numba').setLevel(logging.WARNING)\n",
+        "logging.getLogger('markdown_it').setLevel(logging.WARNING)\n",
+        "logging.getLogger('urllib3').setLevel(logging.WARNING)\n",
+        "logging.getLogger('matplotlib').setLevel(logging.WARNING)\n",
+        "\n",
+        "model = Svc(\"logs/44k/G_99200.pth\", \"configs/config.json\", cluster_model_path=\"logs/44k/kmeans_10000.pt\")\n",
+        "\n",
+        "def vc_fn(sid, input_audio, vc_transform, auto_f0,cluster_ratio, noise_scale):\n",
+        "    if input_audio is None:\n",
+        "        return \"You need to upload an audio\", None\n",
+        "    sampling_rate, audio = input_audio\n",
+        "    # print(audio.shape,sampling_rate)\n",
+        "    duration = audio.shape[0] / sampling_rate\n",
+        "    if duration > 100:\n",
+        "        return \"请上传小于100s的音频，需要转换长音频请本地进行转换\", None\n",
+        "    audio = (audio / np.iinfo(audio.dtype).max).astype(np.float32)\n",
+        "    if len(audio.shape) > 1:\n",
+        "        audio = librosa.to_mono(audio.transpose(1, 0))\n",
+        "    if sampling_rate != 16000:\n",
+        "        audio = librosa.resample(audio, orig_sr=sampling_rate, target_sr=16000)\n",
+        "    print(audio.shape)\n",
+        "    out_wav_path = \"temp.wav\"\n",
+        "    soundfile.write(out_wav_path, audio, 16000, format=\"wav\")\n",
+        "    print( cluster_ratio, auto_f0, noise_scale)\n",
+        "    out_audio, out_sr = model.infer(sid, vc_transform, out_wav_path,\n",
+        "                                   cluster_infer_ratio=cluster_ratio,\n",
+        "                                   auto_predict_f0=auto_f0,\n",
+        "                                   noice_scale=noise_scale\n",
+        "                                   )\n",
+        "    return \"转换成功\", (44100, out_audio.numpy())\n",
+        "\n",
+        "\n",
+        "app = gr.Blocks()\n",
+        "with app:\n",
+        "    with gr.Tabs():\n",
+        "        with gr.TabItem(\"介绍\"):\n",
+        "            gr.Markdown(value=\"\"\"\n",
+        "                星瞳_Official的语音在线合成，基于so-vits-svc-4.0生成。\\n\n",
+        "\n",
+        "                使用须知：\\n\n",
+        "                 1、请使用伴奏和声去除干净的人声素材，时长小于100秒，格式为mp3或wav。\\n\n",
+        "                 2、去除伴奏推荐使用UVR5软件，B站上有详细教程。\\n\n",
+        "                 3、条件不支持推荐使用以下几个去伴奏的网站：\\n\n",
+        "                 https://vocalremover.org/zh/\\n\n",
+        "                 https://tuanziai.com/vocal-remover/upload\\n\n",
+        "                 https://www.lalal.ai/zh-hans/\\n\n",
+        "                 4、在线版服务器为2核16G免费版，转换效率较慢请耐心等待。\\n\n",
+        "                 5、使用此模型请标注作者：南下扶苏，以及该项目地址。\\n\n",
+        "                 6、有问题可以在B站私聊我反馈：https://space.bilibili.com/38523418\\n\n",
+        "                 7、语音模型转换出的音频请勿用于商业化。\n",
+        "                \"\"\")\n",
+        "            spks = list(model.spk2id.keys())\n",
+        "            sid = gr.Dropdown(label=\"音色\", choices=[\"XT4.0\"], value=\"XT4.0\")\n",
+        "            vc_input3 = gr.Audio(label=\"上传音频（长度建议小于100秒）\")\n",
+        "            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)\n",
+        "            cluster_ratio = gr.Number(label=\"聚类模型混合比例，0-1之间，默认为0不启用聚类，能提升音色相似度，但会导致咬字下降（如果使用建议0.5左右）\", value=0)\n",
+        "            auto_f0 = gr.Checkbox(label=\"自动f0预测，配合聚类模型f0预测效果更好,会导致变调功能失效（仅限转换语音，歌声不要勾选此项会究极跑调）\", value=False)\n",
+        "            noise_scale = gr.Number(label=\"noise_scale 建议不要动，会影响音质，玄学参数\", value=0.4)\n",
+        "            vc_submit = gr.Button(\"转换\", variant=\"primary\")\n",
+        "            vc_output1 = gr.Textbox(label=\"Output Message\")\n",
+        "            vc_output2 = gr.Audio(label=\"Output Audio\")\n",
+        "        vc_submit.click(vc_fn, [sid, vc_input3, vc_transform,auto_f0,cluster_ratio, noise_scale], [vc_output1, vc_output2])\n",
+        "\n",
+        "    app.launch()\n"
+      ]
+    }
+  ]
+}