{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "provenance": [], "gpuType": "T4" }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" }, "accelerator": "GPU" }, "cells": [ { "cell_type": "markdown", "source": [ "# Build environment 环境配置" ], "metadata": { "id": "kGzjw-j308Ec" } }, { "cell_type": "code", "source": [ "# 查看当前使用GPU的CUDA版本\n", "!nvidia-smi" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "JD7qLbdAu4Rq", "outputId": "9f20723c-cf99-45b8-cbd1-c217305163eb" }, "execution_count": 1, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Mon Mar 11 06:09:53 2024 \n", "+---------------------------------------------------------------------------------------+\n", "| NVIDIA-SMI 535.104.05 Driver Version: 535.104.05 CUDA Version: 12.2 |\n", "|-----------------------------------------+----------------------+----------------------+\n", "| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |\n", "| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |\n", "| | | MIG M. |\n", "|=========================================+======================+======================|\n", "| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n", "| N/A 46C P8 10W / 70W | 0MiB / 15360MiB | 0% Default |\n", "| | | N/A |\n", "+-----------------------------------------+----------------------+----------------------+\n", " \n", "+---------------------------------------------------------------------------------------+\n", "| Processes: |\n", "| GPU GI CI PID Type Process name GPU Memory |\n", "| ID ID Usage |\n", "|=======================================================================================|\n", "| No running processes found |\n", "+---------------------------------------------------------------------------------------+\n" ] } ] }, { "cell_type": "markdown", "source": [ "# Git Clone 克隆代码" ], "metadata": { "id": "449w7IYaAJiu" } }, { "cell_type": "code", "execution_count": 2, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "OtztAfrnuxi_", "outputId": "60e21559-bc99-4a2e-f211-9158af94f82c" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "/content\n", "Cloning into 'Linly-Talker'...\n", "remote: Enumerating objects: 833, done.\u001b[K\n", "remote: Counting objects: 100% (115/115), done.\u001b[K\n", "remote: Compressing objects: 100% (90/90), done.\u001b[K\n", "remote: Total 833 (delta 50), reused 76 (delta 25), pack-reused 718\u001b[K\n", "Receiving objects: 100% (833/833), 58.54 MiB | 38.80 MiB/s, done.\n", "Resolving deltas: 100% (300/300), done.\n", "/content/Linly-Talker\n", "Looking in indexes: https://download.pytorch.org/whl/cu118\n", "Requirement already satisfied: torch==2.1.0 in /usr/local/lib/python3.10/dist-packages (2.1.0+cu121)\n", "Requirement already satisfied: torchvision==0.16.0 in /usr/local/lib/python3.10/dist-packages (0.16.0+cu121)\n", "Requirement already satisfied: 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filename=zhconv-1.4.3-py2.py3-none-any.whl size=208851 sha256=62ac34c64bb240ec197bd513fa48f0ccd943bdadf7504f411f9b0bd2be7f60f6\n", " Stored in directory: /root/.cache/pip/wheels/68/73/ff/95fe3e7b41a545b9701416c2178b920713b33022c3d605bdb4\n", " Building wheel for openai-whisper (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for openai-whisper: filename=openai_whisper-20231117-py3-none-any.whl size=801356 sha256=89b924a57f4fdb7618dcb63d7f11fed447363cc39e460ee6642e0a4ed1130dc6\n", " Stored in directory: /root/.cache/pip/wheels/d0/85/e1/9361b4cbea7dd4b7f6702fa4c3afc94877952eeb2b62f45f56\n", " Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for ffmpy: filename=ffmpy-0.3.2-py3-none-any.whl size=5584 sha256=2c7ee9d29b352c79962c486a8f57dc7428be63200a2d56d0d45dfced8153c351\n", " Stored in directory: /root/.cache/pip/wheels/bd/65/9a/671fc6dcde07d4418df0c592f8df512b26d7a0029c2a23dd81\n", " Building wheel for filterpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for filterpy: filename=filterpy-1.4.5-py3-none-any.whl size=110458 sha256=95f3fedae48e74143c95bad15e1dbf4a3945425071b982d4af2caf03bd723aa2\n", " Stored in directory: /root/.cache/pip/wheels/0f/0c/ea/218f266af4ad626897562199fbbcba521b8497303200186102\n", "Successfully built transformers_stream_generator zhconv openai-whisper ffmpy filterpy\n", "Installing collected packages: zhconv, tokenizers, pydub, ffmpy, yacs, websockets, tomlkit, shellingham, semantic-version, ruff, python-multipart, protobuf, orjson, numpy, joblib, imageio-ffmpeg, h11, einops, colorama, aiofiles, uvicorn, tiktoken, starlette, scipy, imageio, httpcore, transformers, scikit-learn, resampy, openai-whisper, kornia, httpx, fastapi, edge-tts, accelerate, transformers_stream_generator, librosa, gradio-client, filterpy, face_alignment, gradio, facexlib\n", " Attempting uninstall: tokenizers\n", " Found existing installation: tokenizers 0.15.2\n", " Uninstalling tokenizers-0.15.2:\n", " Successfully uninstalled tokenizers-0.15.2\n", " Attempting uninstall: protobuf\n", " Found existing installation: protobuf 3.20.3\n", " Uninstalling protobuf-3.20.3:\n", " Successfully uninstalled protobuf-3.20.3\n", " Attempting uninstall: numpy\n", " Found existing installation: numpy 1.25.2\n", " Uninstalling numpy-1.25.2:\n", " Successfully uninstalled numpy-1.25.2\n", " Attempting uninstall: joblib\n", " Found existing installation: joblib 1.3.2\n", " Uninstalling joblib-1.3.2:\n", " Successfully uninstalled joblib-1.3.2\n", " Attempting uninstall: imageio-ffmpeg\n", " Found existing installation: imageio-ffmpeg 0.4.9\n", " Uninstalling imageio-ffmpeg-0.4.9:\n", " Successfully uninstalled imageio-ffmpeg-0.4.9\n", " Attempting uninstall: scipy\n", " Found existing installation: scipy 1.11.4\n", " Uninstalling scipy-1.11.4:\n", " Successfully uninstalled scipy-1.11.4\n", " Attempting uninstall: imageio\n", " Found existing installation: imageio 2.31.6\n", " Uninstalling imageio-2.31.6:\n", " Successfully uninstalled imageio-2.31.6\n", " Attempting uninstall: transformers\n", " Found existing installation: transformers 4.38.2\n", " Uninstalling transformers-4.38.2:\n", " Successfully uninstalled transformers-4.38.2\n", " Attempting uninstall: scikit-learn\n", " Found existing installation: scikit-learn 1.2.2\n", " Uninstalling scikit-learn-1.2.2:\n", " Successfully uninstalled scikit-learn-1.2.2\n", " Attempting uninstall: librosa\n", " Found existing installation: librosa 0.10.1\n", " Uninstalling librosa-0.10.1:\n", " Successfully uninstalled librosa-0.10.1\n", "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", "bigframes 0.22.0 requires scikit-learn>=1.2.2, but you have scikit-learn 1.1.3 which is incompatible.\n", "chex 0.1.85 requires numpy>=1.24.1, but you have numpy 1.23.4 which is incompatible.\n", "imbalanced-learn 0.10.1 requires joblib>=1.1.1, but you have joblib 1.1.0 which is incompatible.\n", "tensorflow 2.15.0 requires numpy<2.0.0,>=1.23.5, but you have numpy 1.23.4 which is incompatible.\n", "tensorflow 2.15.0 requires protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3, but you have protobuf 3.19.6 which is incompatible.\n", "tensorflow-datasets 4.9.4 requires protobuf>=3.20, but you have protobuf 3.19.6 which is incompatible.\n", "tensorflow-metadata 1.14.0 requires protobuf<4.21,>=3.20.3, but you have protobuf 3.19.6 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0mSuccessfully installed accelerate-0.27.2 aiofiles-23.2.1 colorama-0.4.6 edge-tts-6.1.10 einops-0.7.0 face_alignment-1.3.5 facexlib-0.3.0 fastapi-0.110.0 ffmpy-0.3.2 filterpy-1.4.5 gradio-4.16.0 gradio-client-0.8.1 h11-0.14.0 httpcore-1.0.4 httpx-0.27.0 imageio-2.19.3 imageio-ffmpeg-0.4.7 joblib-1.1.0 kornia-0.6.8 librosa-0.9.2 numpy-1.23.4 openai-whisper-20231117 orjson-3.9.15 protobuf-3.19.6 pydub-0.25.1 python-multipart-0.0.9 resampy-0.3.1 ruff-0.3.2 scikit-learn-1.1.3 scipy-1.10.1 semantic-version-2.10.0 shellingham-1.5.4 starlette-0.36.3 tiktoken-0.6.0 tokenizers-0.13.3 tomlkit-0.12.0 transformers-4.32.0 transformers_stream_generator-0.0.4 uvicorn-0.28.0 websockets-11.0.3 yacs-0.1.8 zhconv-1.4.3\n" ] }, { "output_type": "display_data", "data": { "application/vnd.colab-display-data+json": { "pip_warning": { "packages": [ "google", "numpy" ] }, "id": "a0a7d836e6c3477e9312d38885af0505" } }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "Requirement already satisfied: transformers==4.32.0 in /usr/local/lib/python3.10/dist-packages (4.32.0)\n", "Requirement 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anyio<5,>=3.5.0->openai) (1.2.0)\n", "Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from httpx<1,>=0.23.0->openai) (2024.2.2)\n", "Requirement already satisfied: httpcore==1.* in /usr/local/lib/python3.10/dist-packages (from httpx<1,>=0.23.0->openai) (1.0.4)\n", "Requirement already satisfied: h11<0.15,>=0.13 in /usr/local/lib/python3.10/dist-packages (from httpcore==1.*->httpx<1,>=0.23.0->openai) (0.14.0)\n", "Requirement already satisfied: annotated-types>=0.4.0 in /usr/local/lib/python3.10/dist-packages (from pydantic<3,>=1.9.0->openai) (0.6.0)\n", "Requirement already satisfied: pydantic-core==2.16.3 in /usr/local/lib/python3.10/dist-packages (from pydantic<3,>=1.9.0->openai) (2.16.3)\n", "Installing collected packages: protobuf, openai\n", " Attempting uninstall: protobuf\n", " Found existing installation: protobuf 3.19.6\n", " Uninstalling protobuf-3.19.6:\n", " Successfully uninstalled protobuf-3.19.6\n", "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", "google-ai-generativelanguage 0.4.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 3.19.4 which is incompatible.\n", "google-api-core 2.11.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0.dev0,>=3.19.5, but you have protobuf 3.19.4 which is incompatible.\n", "google-cloud-aiplatform 1.43.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 3.19.4 which is incompatible.\n", "google-cloud-bigquery 3.12.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 3.19.4 which is incompatible.\n", "google-cloud-bigquery-connection 1.12.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 3.19.4 which is incompatible.\n", "google-cloud-bigquery-storage 2.24.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 3.19.4 which is incompatible.\n", "google-cloud-datastore 2.15.2 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 3.19.4 which is incompatible.\n", "google-cloud-firestore 2.11.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 3.19.4 which is incompatible.\n", "google-cloud-functions 1.13.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 3.19.4 which is incompatible.\n", "google-cloud-iam 2.14.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 3.19.4 which is incompatible.\n", "google-cloud-language 2.13.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 3.19.4 which is incompatible.\n", "google-cloud-resource-manager 1.12.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 3.19.4 which is incompatible.\n", "google-cloud-translate 3.11.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 3.19.4 which is incompatible.\n", "googleapis-common-protos 1.62.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0.dev0,>=3.19.5, but you have protobuf 3.19.4 which is incompatible.\n", "grpc-google-iam-v1 0.13.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 3.19.4 which is incompatible.\n", "tensorboard 2.15.2 requires protobuf!=4.24.0,>=3.19.6, but you have protobuf 3.19.4 which is incompatible.\n", "tensorflow 2.15.0 requires numpy<2.0.0,>=1.23.5, but you have numpy 1.23.4 which is incompatible.\n", "tensorflow 2.15.0 requires protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3, but you have protobuf 3.19.4 which is incompatible.\n", "tensorflow-datasets 4.9.4 requires protobuf>=3.20, but you have protobuf 3.19.4 which is incompatible.\n", "tensorflow-hub 0.16.1 requires protobuf>=3.19.6, but you have protobuf 3.19.4 which is incompatible.\n", "tensorflow-metadata 1.14.0 requires protobuf<4.21,>=3.20.3, but you have protobuf 3.19.4 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0mSuccessfully installed openai-1.13.3 protobuf-3.19.4\n" ] }, { "output_type": "display_data", "data": { "application/vnd.colab-display-data+json": { "pip_warning": { "packages": [ "google" ] }, "id": "83e58bd49d2e4a529353c353a870b888" } }, "metadata": {} } ], "source": [ "%cd /content/\n", "!git clone https://github.com/Kedreamix/Linly-Talker\n", "%cd /content/Linly-Talker/\n", "\n", "\n", "# 安装torch\n", "!pip install torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 --index-url https://download.pytorch.org/whl/cu118\n", "\n", "# 默认存在ffmpeg\n", "# conda install -q ffmpeg # ffmpeg==4.2.2\n", "\n", "# 安装依赖\n", "!pip install -r requirements_app.txt\n", "\n", "# QWen安装\n", "!pip install transformers==4.32.0 accelerate tiktoken einops scipy transformers_stream_generator==0.0.4 peft deepspeed\n", "\n", "!pip install --upgrade protobuf" ] }, { "cell_type": "code", "source": [ "# 若想使用语音克隆请，安装语音克隆对应的依赖\n", "# !pip install -r VITS/requirements_gptsovits.txt" ], "metadata": { "id": "5ghozl_z20rI" }, "execution_count": 3, "outputs": [] }, { "cell_type": "markdown", "source": [ "安装可以后重启一下，才能使用新安装的库" ], "metadata": { "id": "dAaPl8kkAsP2" } }, { "cell_type": "markdown", "source": [ "# Download pretrained models 下载预训练模型" ], "metadata": { "id": "0LqH8VZt1D6W" } }, { "cell_type": "code", "source": [ "%cd /content/Linly-Talker/\n", "!rm -rf Linly-Talker/\n", "\n", "# 从huggingface下载预训练模型，需要一段时间，因为比较大\n", "!git lfs install\n", "!git clone https://huggingface.co/Kedreamix/Linly-Talker" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "LkFCAh4x1P4U", "outputId": "6716f95a-ba5f-4798-a35e-c3f0e5be3963" }, "execution_count": 4, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "/content/Linly-Talker\n", "Updated git hooks.\n", "Git LFS initialized.\n", "Cloning into 'Linly-Talker'...\n", "remote: Enumerating objects: 67, done.\u001b[K\n", "remote: Counting objects: 100% (63/63), done.\u001b[K\n", "remote: Compressing objects: 100% (54/54), done.\u001b[K\n", "remote: Total 67 (delta 1), reused 0 (delta 0), pack-reused 4\u001b[K\n", "Unpacking objects: 100% (67/67), 2.29 MiB | 7.27 MiB/s, done.\n", "Filtering content: 100% (17/17), 7.01 GiB | 55.22 MiB/s, done.\n" ] } ] }, { "cell_type": "code", "source": [ "# 移动所有模型到当前目录\n", "%cd /content/Linly-Talker/\n", "\n", "# checkpoint中含有SadTalker和Wav2Lip\n", "!mkdir checkpoints\n", "%mv Linly-Talker/checkpoints/* ./checkpoints/\n", "\n", "# SadTalker的增强GFPGAN\n", "# pip install gfpgan\n", "# %mv Linly-Talker/gfpan ./\n", "\n", "# 语音克隆模型\n", "%mv Linly-Talker/GPT_SoVITS/pretrained_models/* ./GPT_SoVITS/pretrained_models/\n", "\n", "# Qwen大模型\n", "%mv Linly-Talker/Qwen ./" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "BHTSiSwF3tLG", "outputId": "f77ef304-fe79-44fa-9c6e-5d455eefd9cd" }, "execution_count": 5, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "/content/Linly-Talker\n" ] } ] }, { "cell_type": "markdown", "source": [ "# launch WebUI 启动WebUI" ], "metadata": { "id": "pVmRVq191Jmb" } }, { "cell_type": "markdown", "source": [ "需要修改一下webui.py 设置share = True，这样就能在网页上进行体验\n", "\n", "\n", "\n", "```\n", " demo.launch(server_name=\"127.0.0.1\", # 本地端口localhost:127.0.0.1 全局端口转发:\"0.0.0.0\"\n", " server_port=port,\n", " debug=True,\n", " share=True,\n", " )\n", "```\n", "\n" ], "metadata": { "id": "HNqzuahYFpHS" } }, { "cell_type": "code", "source": [ "%cd /content/Linly-Talker/\n", "\n", "!python app.py" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "auS02lwhHdvB", "outputId": "407d46dd-b278-41e6-c432-6844d45becf4" }, "execution_count": 2, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "/content/Linly-Talker\n", "如果想使用FunASR，请先安装funasr，若使用Whisper，请忽略此条信息\n", "The model is automatically converting to fp16 for faster inference. If you want to disable the automatic precision, please manually add bf16/fp16/fp32=True to \"AutoModelForCausalLM.from_pretrained\".\n", "Try importing flash-attention for faster inference...\n", "Warning: import flash_attn rotary fail, please install FlashAttention rotary to get higher efficiency https://github.com/Dao-AILab/flash-attention/tree/main/csrc/rotary\n", "Warning: import flash_attn rms_norm fail, please install FlashAttention layer_norm to get higher efficiency https://github.com/Dao-AILab/flash-attention/tree/main/csrc/layer_norm\n", "Warning: import flash_attn fail, please install FlashAttention to get higher efficiency https://github.com/Dao-AILab/flash-attention\n", "Loading checkpoint shards: 100% 2/2 [00:04<00:00, 2.38s/it]\n", "using safetensor as default\n", "Running on local URL: http://127.0.0.1:7860\n", "Running on public URL: https://d65872c8dbf61ef25e.gradio.live\n", "\n", "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n", "2024-03-11 06:29:13.417924: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", "2024-03-11 06:29:13.417993: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", "2024-03-11 06:29:13.425185: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", "2024-03-11 06:29:15.324126: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", "根据任务优先级安排，分配学习时间、休息时间及娱乐时间。建立目标清单，制定实现步骤并按时完成。\n", "函数 predict 运行时间： 1.6354515552520752 秒\n", "函数 LLM_response 运行时间： 8.379758834838867 秒\n", "audio2exp:: 100% 22/22 [00:00<00:00, 27.63it/s]\n", "Face Renderer:: 100% 106/106 [01:05<00:00, 1.63it/s]\n", "fps: 20 212\n", "./results/temp_girl_answer.mp4\n", "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", "函数 Talker_response 运行时间： 81.35897588729858 秒\n", "Keyboard interruption in main thread... closing server.\n", "Traceback (most recent call last):\n", " File \"/usr/local/lib/python3.10/dist-packages/gradio/blocks.py\", line 2233, in block_thread\n", " time.sleep(0.1)\n", "KeyboardInterrupt\n", "\n", "During handling of the above exception, another exception occurred:\n", "\n", "Traceback (most recent call last):\n", " File \"/content/Linly-Talker/app.py\", line 187, in \n", " demo.launch(server_name=\"127.0.0.1\", # 本地端口localhost:127.0.0.1 全局端口转发:\"0.0.0.0\"\n", " File \"/usr/local/lib/python3.10/dist-packages/gradio/blocks.py\", line 2129, in launch\n", " self.block_thread()\n", " File \"/usr/local/lib/python3.10/dist-packages/gradio/blocks.py\", line 2237, in block_thread\n", " self.server.close()\n", " File \"/usr/local/lib/python3.10/dist-packages/gradio/networking.py\", line 76, in close\n", " self.thread.join()\n", " File \"/usr/lib/python3.10/threading.py\", line 1096, in join\n", " self._wait_for_tstate_lock()\n", " File \"/usr/lib/python3.10/threading.py\", line 1116, in _wait_for_tstate_lock\n", " if lock.acquire(block, timeout):\n", "KeyboardInterrupt\n", "Killing tunnel 127.0.0.1:7860 <> https://d65872c8dbf61ef25e.gradio.live\n", "\u001b[0m" ] } ] }, { "cell_type": "code", "source": [ "%cd /content/Linly-Talker/\n", "\n", "!python webui.py" ], "metadata": { "id": "LdUowoDW2HDI", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "f18d71b4-c6be-4bb6-e219-c0b93b5cea78" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "/content/Linly-Talker\n", "如果想使用FunASR，请先安装funasr，若使用Whisper，请忽略此条信息\n", "The model is automatically converting to fp16 for faster inference. If you want to disable the automatic precision, please manually add bf16/fp16/fp32=True to \"AutoModelForCausalLM.from_pretrained\".\n", "Try importing flash-attention for faster inference...\n", "Warning: import flash_attn rotary fail, please install FlashAttention rotary to get higher efficiency https://github.com/Dao-AILab/flash-attention/tree/main/csrc/rotary\n", "Warning: import flash_attn rms_norm fail, please install FlashAttention layer_norm to get higher efficiency https://github.com/Dao-AILab/flash-attention/tree/main/csrc/layer_norm\n", "Warning: import flash_attn fail, please install FlashAttention to get higher efficiency https://github.com/Dao-AILab/flash-attention\n", "Loading checkpoint shards: 100% 2/2 [00:08<00:00, 4.04s/it]\n", "using safetensor as default\n", "Load checkpoint from: checkpoints/wav2lip_gan.pth\n", "GPT_SoVITS导入失败，原因： No module named 'LangSegment'\n", "使用GPT-SoVITS语音克隆前需要安装对应的环境，请执行 pip install -r VITS/requirements_vits.txt\n", "XTTS导入失败，原因： No module named 'langid'\n", "使用XTTS语音克隆前需要安装对应的环境，请执行 pip install -r VITS/requirements_xtts.txt\n", "GPT-SoVITS Error: No module named 'LangSegment'\n", "如果使用VITS，请先下载GPT-SoVITS模型和安装环境\n", "ASR Error: name 'AutoModel' is not defined\n", "如果使用FunASR，请先下载FunASR模型和安装环境\n", "Running on local URL: http://127.0.0.1:7860\n", "Running on public URL: https://38fcd792ddeac8706e.gradio.live\n", "\n", "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n", "2024-03-11 06:32:27.085932: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n", "2024-03-11 06:32:27.085986: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n", "2024-03-11 06:32:27.087492: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n", "2024-03-11 06:32:28.932933: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", "[('如何进行时间管理？', '制定计划，列出任务，分配时间，按时完成。')]\n", "函数 predict 运行时间： 1.4457018375396729 秒\n", "audio2exp:: 100% 9/9 [00:00<00:00, 10.08it/s]\n", "Face Renderer:: 100% 42/42 [00:25<00:00, 1.63it/s]\n", "fps: 20 83\n", "./results/temp_boy_answer.mp4\n", "IMAGEIO FFMPEG_WRITER WARNING: input image is not divisible by macro_block_size=16, resizing from (256, 218) to (256, 224) to ensure video compatibility with most codecs and players. To prevent resizing, make your input image divisible by the macro_block_size or set the macro_block_size to 1 (risking incompatibility).\n", "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n" ] } ] } ] }