added another whisper test

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
+}