From 13a37acd267d9bb568fd75acc192030b7979e7b8 Mon Sep 17 00:00:00 2001 From: Malte Grosse Date: Tue, 17 Oct 2023 08:25:39 +0900 Subject: [PATCH] added another whisper test --- whisper_test_multimodel.ipynb | 129 ++++++++++++++++++++++++++++++++++ 1 file changed, 129 insertions(+) create mode 100644 whisper_test_multimodel.ipynb diff --git a/whisper_test_multimodel.ipynb b/whisper_test_multimodel.ipynb new file mode 100644 index 0000000..de9ead0 --- /dev/null +++ b/whisper_test_multimodel.ipynb @@ -0,0 +1,129 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "dac0ca1b-b098-426a-982a-777049f40581", + "metadata": {}, + "outputs": [], + "source": [ + "!pip install git+https://github.com/openai/whisper.git " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2d10ec51-1c42-40de-a6ac-f2b70566b9a3", + "metadata": {}, + "outputs": [], + "source": [ + "import time\n", + "import torch\n", + "import whisper\n", + "from datetime import datetime" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7ffe9e04-cc7f-4c65-b9a3-10bb1a5eac41", + "metadata": {}, + "outputs": [], + "source": [ + "Models = [\n", + " 'base',\n", + " 'medium',\n", + " ]\n", + "\n", + "Files = [\n", + " \"./TestdateiAudiotranskription.mp3\"\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ca9f2fae-f7f9-4846-afd5-7c27253e4061", + "metadata": {}, + "outputs": [], + "source": [ + "LogFile = \"./log.md\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4f7fbfb3-a116-4dcb-a154-188a26291f47", + "metadata": {}, + "outputs": [], + "source": [ + "def transcribe(model, file):\n", + " s_transcribe = time.time()\n", + " result = model.transcribe(file, verbose=True)\n", + " e_transcribe = time.time()\n", + " writeLog(f'- **Transcribe ({file}) : {e_transcribe-s_transcribe}**\\n')\n", + " writeLog(f' - ({file}) : {result[\"text\"]}\\n')\n", + "\n", + "\n", + "def writeLog(mes):\n", + " with open(LogFile, mode=\"a\") as f:\n", + " f.write(mes)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "46042b2a-507b-48c8-b0f2-dd9e8260c52a", + "metadata": {}, + "outputs": [], + "source": [ + "writeLog(\"# Whisper Research\\n\")\n", + "writeLog(f\"## Research Start {datetime.now().strftime('%Y/%m/%d %H:%M:%S')} \\n\")\n", + "writeLog(f' ** cuda available: {torch.cuda.is_available()} **\\n')\n", + "for m in Models:\n", + " writeLog(f' ### Model : ({m}) ---\\n')\n", + " s_loadmodel = time.time()\n", + " model = whisper.load_model(m)\n", + " e_loadmodel = time.time()\n", + " writeLog(f' ** Load Model ({m}) : {e_loadmodel-s_loadmodel}**\\n')\n", + " for file in Files:\n", + " transcribe(model, file)\n", + " writeLog(' -------- \\n')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6d6bb338-cbe4-4bc1-9ce4-204771f9721b", + "metadata": {}, + "outputs": [], + "source": [ + "# clear resources\n", + "from numba import cuda\n", + "device = cuda.get_current_device()\n", + "device.reset()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}