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@sugatoray
Created August 6, 2024 05:16
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demo-whisper-medusa
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/sugatoray/f8d5dfa622d4db083ace596f0f4d1885/demo-whisper-medusa.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"source": [
"## Install Whisper-Medusa from Source Code"
],
"metadata": {
"id": "1BAde451HIe_"
}
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "lIYdn1woOS1n",
"outputId": "45fe110d-0562-434c-def7-7cfbf6e5a31b"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Collecting git+https://github.com/aiola-lab/whisper-medusa.git\n",
" Cloning https://github.com/aiola-lab/whisper-medusa.git to /tmp/pip-req-build-to_2gzex\n",
" Running command git clone --filter=blob:none --quiet https://github.com/aiola-lab/whisper-medusa.git /tmp/pip-req-build-to_2gzex\n",
" Resolved https://github.com/aiola-lab/whisper-medusa.git to commit 735d3fc7cb26543fcd851d09095afa1edf426292\n",
" Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
"Collecting jiwer==3.0.3 (from medusa-whisper==0.1.0)\n",
" Downloading jiwer-3.0.3-py3-none-any.whl.metadata (2.6 kB)\n",
"Requirement already satisfied: numpy==1.26.4 in /usr/local/lib/python3.10/dist-packages (from medusa-whisper==0.1.0) (1.26.4)\n",
"Collecting pandas==2.2.2 (from medusa-whisper==0.1.0)\n",
" Downloading pandas-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)\n",
"Requirement already satisfied: soundfile==0.12.1 in /usr/local/lib/python3.10/dist-packages (from medusa-whisper==0.1.0) (0.12.1)\n",
"Collecting torch==2.2.2 (from medusa-whisper==0.1.0)\n",
" Downloading torch-2.2.2-cp310-cp310-manylinux1_x86_64.whl.metadata (26 kB)\n",
"Collecting torchaudio==2.2.2 (from medusa-whisper==0.1.0)\n",
" Downloading torchaudio-2.2.2-cp310-cp310-manylinux1_x86_64.whl.metadata (6.4 kB)\n",
"Collecting transformers==4.39.0 (from medusa-whisper==0.1.0)\n",
" Downloading transformers-4.39.0-py3-none-any.whl.metadata (134 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.8/134.8 kB\u001b[0m \u001b[31m10.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: click<9.0.0,>=8.1.3 in /usr/local/lib/python3.10/dist-packages (from jiwer==3.0.3->medusa-whisper==0.1.0) (8.1.7)\n",
"Collecting rapidfuzz<4,>=3 (from jiwer==3.0.3->medusa-whisper==0.1.0)\n",
" Downloading rapidfuzz-3.9.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (12 kB)\n",
"Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas==2.2.2->medusa-whisper==0.1.0) (2.8.2)\n",
"Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas==2.2.2->medusa-whisper==0.1.0) (2024.1)\n",
"Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas==2.2.2->medusa-whisper==0.1.0) (2024.1)\n",
"Requirement already satisfied: cffi>=1.0 in /usr/local/lib/python3.10/dist-packages (from soundfile==0.12.1->medusa-whisper==0.1.0) (1.16.0)\n",
"Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch==2.2.2->medusa-whisper==0.1.0) (3.15.4)\n",
"Requirement already satisfied: typing-extensions>=4.8.0 in /usr/local/lib/python3.10/dist-packages (from torch==2.2.2->medusa-whisper==0.1.0) (4.12.2)\n",
"Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch==2.2.2->medusa-whisper==0.1.0) (1.13.1)\n",
"Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch==2.2.2->medusa-whisper==0.1.0) (3.3)\n",
"Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch==2.2.2->medusa-whisper==0.1.0) (3.1.4)\n",
"Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch==2.2.2->medusa-whisper==0.1.0) (2024.6.1)\n",
"Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch==2.2.2->medusa-whisper==0.1.0)\n",
" Using cached nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)\n",
"Collecting nvidia-cuda-runtime-cu12==12.1.105 (from torch==2.2.2->medusa-whisper==0.1.0)\n",
" Using cached nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)\n",
"Collecting nvidia-cuda-cupti-cu12==12.1.105 (from torch==2.2.2->medusa-whisper==0.1.0)\n",
" Using cached nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)\n",
"Collecting nvidia-cudnn-cu12==8.9.2.26 (from torch==2.2.2->medusa-whisper==0.1.0)\n",
" Using cached nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)\n",
"Collecting nvidia-cublas-cu12==12.1.3.1 (from torch==2.2.2->medusa-whisper==0.1.0)\n",
" Using cached nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)\n",
"Collecting nvidia-cufft-cu12==11.0.2.54 (from torch==2.2.2->medusa-whisper==0.1.0)\n",
" Using cached nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)\n",
"Collecting nvidia-curand-cu12==10.3.2.106 (from torch==2.2.2->medusa-whisper==0.1.0)\n",
" Using cached nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)\n",
"Collecting nvidia-cusolver-cu12==11.4.5.107 (from torch==2.2.2->medusa-whisper==0.1.0)\n",
" Using cached nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)\n",
"Collecting nvidia-cusparse-cu12==12.1.0.106 (from torch==2.2.2->medusa-whisper==0.1.0)\n",
" Using cached nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)\n",
"Collecting nvidia-nccl-cu12==2.19.3 (from torch==2.2.2->medusa-whisper==0.1.0)\n",
" Downloading nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl.metadata (1.8 kB)\n",
"Collecting nvidia-nvtx-cu12==12.1.105 (from torch==2.2.2->medusa-whisper==0.1.0)\n",
" Using cached nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.7 kB)\n",
"Collecting triton==2.2.0 (from torch==2.2.2->medusa-whisper==0.1.0)\n",
" Downloading triton-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.4 kB)\n",
"Requirement already satisfied: huggingface-hub<1.0,>=0.19.3 in /usr/local/lib/python3.10/dist-packages (from transformers==4.39.0->medusa-whisper==0.1.0) (0.23.5)\n",
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.39.0->medusa-whisper==0.1.0) (24.1)\n",
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.39.0->medusa-whisper==0.1.0) (6.0.1)\n",
"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.39.0->medusa-whisper==0.1.0) (2024.5.15)\n",
"Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers==4.39.0->medusa-whisper==0.1.0) (2.31.0)\n",
"Collecting tokenizers<0.19,>=0.14 (from transformers==4.39.0->medusa-whisper==0.1.0)\n",
" Downloading tokenizers-0.15.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.7 kB)\n",
"Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.39.0->medusa-whisper==0.1.0) (0.4.3)\n",
"Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers==4.39.0->medusa-whisper==0.1.0) (4.66.4)\n",
"Collecting nvidia-nvjitlink-cu12 (from nvidia-cusolver-cu12==11.4.5.107->torch==2.2.2->medusa-whisper==0.1.0)\n",
" Using cached nvidia_nvjitlink_cu12-12.6.20-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)\n",
"Requirement already satisfied: pycparser in /usr/local/lib/python3.10/dist-packages (from cffi>=1.0->soundfile==0.12.1->medusa-whisper==0.1.0) (2.22)\n",
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas==2.2.2->medusa-whisper==0.1.0) (1.16.0)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch==2.2.2->medusa-whisper==0.1.0) (2.1.5)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.39.0->medusa-whisper==0.1.0) (3.3.2)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.39.0->medusa-whisper==0.1.0) (3.7)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.39.0->medusa-whisper==0.1.0) (2.0.7)\n",
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.39.0->medusa-whisper==0.1.0) (2024.7.4)\n",
"Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch==2.2.2->medusa-whisper==0.1.0) (1.3.0)\n",
"Downloading jiwer-3.0.3-py3-none-any.whl (21 kB)\n",
"Downloading pandas-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.0 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m13.0/13.0 MB\u001b[0m \u001b[31m103.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading torch-2.2.2-cp310-cp310-manylinux1_x86_64.whl (755.5 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m755.5/755.5 MB\u001b[0m \u001b[31m2.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading torchaudio-2.2.2-cp310-cp310-manylinux1_x86_64.whl (3.3 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.3/3.3 MB\u001b[0m \u001b[31m56.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading transformers-4.39.0-py3-none-any.whl (8.8 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m8.8/8.8 MB\u001b[0m \u001b[31m112.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hUsing cached nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB)\n",
"Using cached nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (14.1 MB)\n",
"Using cached nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB)\n",
"Using cached nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (823 kB)\n",
"Using cached nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl (731.7 MB)\n",
"Using cached nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)\n",
"Using cached nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)\n",
"Using cached nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)\n",
"Using cached nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl (196.0 MB)\n",
"Downloading nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl (166.0 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m166.0/166.0 MB\u001b[0m \u001b[31m3.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hUsing cached nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)\n",
"Downloading triton-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (167.9 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m167.9/167.9 MB\u001b[0m \u001b[31m13.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading rapidfuzz-3.9.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.4 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.4/3.4 MB\u001b[0m \u001b[31m94.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hDownloading tokenizers-0.15.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.6/3.6 MB\u001b[0m \u001b[31m97.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hUsing cached nvidia_nvjitlink_cu12-12.6.20-py3-none-manylinux2014_x86_64.whl (19.7 MB)\n",
"Building wheels for collected packages: medusa-whisper\n",
" Building wheel for medusa-whisper (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for medusa-whisper: filename=medusa_whisper-0.1.0-py3-none-any.whl size=28726 sha256=15a1d0b35a0baad7a6b3989917c2ad76d63767c53f12994b0c06b5cb8a889272\n",
" Stored in directory: /tmp/pip-ephem-wheel-cache-ne0vh78v/wheels/e0/f9/51/d9945d357a3b0b649bbeeb371329a79fa54f006fd891a77505\n",
"Successfully built medusa-whisper\n",
"Installing collected packages: triton, rapidfuzz, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, pandas, nvidia-cusparse-cu12, nvidia-cudnn-cu12, jiwer, tokenizers, nvidia-cusolver-cu12, transformers, torch, torchaudio, medusa-whisper\n",
" Attempting uninstall: triton\n",
" Found existing installation: triton 2.3.1\n",
" Uninstalling triton-2.3.1:\n",
" Successfully uninstalled triton-2.3.1\n",
" Attempting uninstall: pandas\n",
" Found existing installation: pandas 2.1.4\n",
" Uninstalling pandas-2.1.4:\n",
" Successfully uninstalled pandas-2.1.4\n",
" Attempting uninstall: tokenizers\n",
" Found existing installation: tokenizers 0.19.1\n",
" Uninstalling tokenizers-0.19.1:\n",
" Successfully uninstalled tokenizers-0.19.1\n",
" Attempting uninstall: transformers\n",
" Found existing installation: transformers 4.42.4\n",
" Uninstalling transformers-4.42.4:\n",
" Successfully uninstalled transformers-4.42.4\n",
" Attempting uninstall: torch\n",
" Found existing installation: torch 2.3.1+cu121\n",
" Uninstalling torch-2.3.1+cu121:\n",
" Successfully uninstalled torch-2.3.1+cu121\n",
" Attempting uninstall: torchaudio\n",
" Found existing installation: torchaudio 2.3.1+cu121\n",
" Uninstalling torchaudio-2.3.1+cu121:\n",
" Successfully uninstalled torchaudio-2.3.1+cu121\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",
"cudf-cu12 24.4.1 requires pandas<2.2.2dev0,>=2.0, but you have pandas 2.2.2 which is incompatible.\n",
"google-colab 1.0.0 requires pandas==2.1.4, but you have pandas 2.2.2 which is incompatible.\n",
"torchtext 0.18.0 requires torch>=2.3.0, but you have torch 2.2.2 which is incompatible.\n",
"torchvision 0.18.1+cu121 requires torch==2.3.1, but you have torch 2.2.2 which is incompatible.\u001b[0m\u001b[31m\n",
"\u001b[0mSuccessfully installed jiwer-3.0.3 medusa-whisper-0.1.0 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.19.3 nvidia-nvjitlink-cu12-12.6.20 nvidia-nvtx-cu12-12.1.105 pandas-2.2.2 rapidfuzz-3.9.5 tokenizers-0.15.2 torch-2.2.2 torchaudio-2.2.2 transformers-4.39.0 triton-2.2.0\n"
]
}
],
"source": [
"pip install git+https://github.com/aiola-lab/whisper-medusa.git"
]
},
{
"cell_type": "markdown",
"source": [
"## Download Sample `.wav` File:\n",
"\n",
"Source:\n",
"https://www.kaggle.com/datasets/pavanelisetty/sample-audio-files-for-speech-recognition/data?select=harvard.wav\n",
"\n",
"Then upload the zip file to Colab. Once uploaded, run the following three code cells."
],
"metadata": {
"id": "JZzHChBXF2Hf"
}
},
{
"cell_type": "code",
"source": [
"!ls"
],
"metadata": {
"id": "15sptQBdC9RR",
"outputId": "6b378357-bb3a-4928-d39e-71280bb228a5",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"harvard.wav.zip sample_data\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!unzip harvard.wav.zip"
],
"metadata": {
"id": "_LHESEmECn1Y",
"outputId": "9c31c56d-9f28-43a8-ac3a-9220229850a7",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Archive: harvard.wav.zip\n",
" inflating: harvard.wav \n"
]
}
]
},
{
"cell_type": "code",
"source": [
"WAV_FILE_PATH = \"harvard.wav\""
],
"metadata": {
"id": "z0WxSvkuDGN5"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"## Load Model"
],
"metadata": {
"id": "h6GAFCsPGscn"
}
},
{
"cell_type": "code",
"source": [
"import torch\n",
"import torchaudio\n",
"\n",
"from whisper_medusa import WhisperMedusaModel\n",
"from transformers import WhisperProcessor\n",
"\n",
"model_name = \"aiola/whisper-medusa-v1\"\n",
"model = WhisperMedusaModel.from_pretrained(model_name)\n",
"processor = WhisperProcessor.from_pretrained(model_name)"
],
"metadata": {
"id": "7GELCC1oDVJu",
"outputId": "ae94ac19-e9c0-4870-da28-2d36c63f3319",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 742,
"referenced_widgets": [
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]
}
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n",
" warnings.warn(\n",
"/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: \n",
"The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
"To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
"You will be able to reuse this secret in all of your notebooks.\n",
"Please note that authentication is recommended but still optional to access public models or datasets.\n",
" warnings.warn(\n"
]
},
{
"output_type": "display_data",
"data": {
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],
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"metadata": {}
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{
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"data": {
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},
"metadata": {}
},
{
"output_type": "stream",
"name": "stderr",
"text": [
"Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"## Set Parameters"
],
"metadata": {
"id": "Ht_TEbAEG4FD"
}
},
{
"cell_type": "code",
"source": [
"path_to_audio = WAV_FILE_PATH # \"path/to/audio.wav\"\n",
"SAMPLING_RATE = 16000\n",
"language = \"en\"\n",
"device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
"print(f\"Using device: {device}\")"
],
"metadata": {
"id": "eWJ3yh0sDapo",
"outputId": "bc2446da-9f88-4e13-8f90-504abacae7a6",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Using device: cuda\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"## Apply Model Inference"
],
"metadata": {
"id": "lCyylHMrG7gZ"
}
},
{
"cell_type": "code",
"source": [
"input_speech, sr = torchaudio.load(path_to_audio)\n",
"if input_speech.shape[0] > 1: # If stereo, average the channels\n",
" input_speech = input_speech.mean(dim=0, keepdim=True)\n",
"\n",
"if sr != SAMPLING_RATE:\n",
" input_speech = torchaudio.transforms.Resample(sr, SAMPLING_RATE)(input_speech)\n",
"\n",
"input_features = processor(input_speech.squeeze(), return_tensors=\"pt\", sampling_rate=SAMPLING_RATE).input_features\n",
"input_features = input_features.to(device)\n",
"\n",
"model = model.to(device)\n",
"model_output = model.generate(\n",
" input_features,\n",
" language=language,\n",
")\n",
"predict_ids = model_output[0]\n",
"pred = processor.decode(predict_ids, skip_special_tokens=True)\n",
"print(pred)\n"
],
"metadata": {
"id": "5SLcip9a7Pm3",
"outputId": "6d35552c-c198-47b3-aad7-b444ccdda36f",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"The stale smell of old beer lingers. It takes heat to bring out the odor. A cold dip restores health and zest. A salt pickle tastes fine with ham. Taco's All Pasture are my favorite. A zestful food is the hot cross bun.\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"## Preview Model Output"
],
"metadata": {
"id": "UrriS05qG_vR"
}
},
{
"cell_type": "code",
"source": [
"from textwrap import wrap"
],
"metadata": {
"id": "8baR0K3o7y43"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
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],
"metadata": {
"id": "HUOMz_yRFZGV",
"outputId": "cb8b5eac-40ef-45f7-cc19-9955d93ae5fd",
"colab": {
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}
},
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"output_type": "stream",
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"text": [
"The stale smell of old beer lingers. It takes heat to bring out the odor. A cold\n",
"dip restores health and zest. A salt pickle tastes fine with ham. Taco's All\n",
"Pasture are my favorite. A zestful food is the hot cross bun.\n"
]
}
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