AWS_transcribe_with_Speaker_diarization.ipynb

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 "cells": [
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   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
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   "source": [
    "filepath = \"~/audio_wav/\"\n",
    "output_filepath = \"~/Transcripts/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from __future__ import print_function\n",
    "import time\n",
    "import boto3\n",
    "import json\n",
    "import os\n",
    "import botocore\n",
    "\n",
    "bucketName = \"audiofiles\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def upload_file_to_s3(audio_file_name):\n",
    "    \n",
    "    Key = filepath + audio_file_name\n",
    "    outPutname = audio_file_name\n",
    "\n",
    "    s3 = boto3.client('s3')\n",
    "    s3.upload_file(Key,bucketName,outPutname)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def download_file_from_s3(audio_file_name):\n",
    "    \n",
    "    s3 = boto3.resource('s3')\n",
    "    \n",
    "    Key = outPutname = audio_file_name.split('.')[0] + '.json'\n",
    "    \n",
    "    try:\n",
    "        s3.Bucket(bucketName).download_file(Key, outPutname)\n",
    "    except botocore.exceptions.ClientError as e:\n",
    "        if e.response['Error']['Code'] == \"404\":\n",
    "            print(\"The object does not exist.\")\n",
    "        else:\n",
    "            raise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def delete_file_from_s3(audio_file_name):\n",
    "    \n",
    "    s3 = boto3.resource('s3')\n",
    "    s3.Object(bucketName, audio_file_name).delete()\n",
    "    s3.Object(bucketName, audio_file_name.split('.')[0] + '.json').delete()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def transcribe(audio_file_name):\n",
    "    \n",
    "    transcripts = ''\n",
    "    \n",
    "    upload_file_to_s3(audio_file_name)\n",
    "    \n",
    "    transcribe = boto3.client('transcribe', region_name='us-east-2')\n",
    "    job_name = audio_file_name.split('.')[0]\n",
    "    job_uri = \"https://s3.us-east-2.amazonaws.com/\" + bucketName + \"/\" + audio_file_name\n",
    "    transcribe.start_transcription_job(\n",
    "        TranscriptionJobName=job_name,\n",
    "        Media={'MediaFileUri': job_uri},\n",
    "        MediaFormat='wav',\n",
    "        LanguageCode='en-US',\n",
    "        Settings={'MaxSpeakerLabels':2,'ShowSpeakerLabels':True},\n",
    "        OutputBucketName=bucketName\n",
    "    )\n",
    "    while True:\n",
    "        status = transcribe.get_transcription_job(TranscriptionJobName=job_name)\n",
    "        if status['TranscriptionJob']['TranscriptionJobStatus'] in ['COMPLETED', 'FAILED']:\n",
    "            break\n",
    "        time.sleep(5)\n",
    "    \n",
    "    download_file_from_s3(audio_file_name)\n",
    "    \n",
    "    transcribe.delete_transcription_job(TranscriptionJobName=job_name)\n",
    "    \n",
    "    delete_file_from_s3(audio_file_name)\n",
    "    \n",
    "    with open(audio_file_name.split('.')[0] + '.json') as f:\n",
    "        text = json.load(f)\n",
    "    \n",
    "    for i in text['results']['transcripts']:\n",
    "        transcripts += i['transcript']\n",
    "    \n",
    "    #os.remove(audio_file_name.split('.')[0] + '.json')\n",
    "    \n",
    "    return transcripts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def write_transcripts(transcript_filename,transcript):\n",
    "    f= open(output_filepath + transcript_filename,\"w+\")\n",
    "    f.write(transcript)\n",
    "    f.close() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "path.wav\n",
      "Test.wav\n"
     ]
    }
   ],
   "source": [
    "if __name__ == \"__main__\":\n",
    "    files = [f for f in os.listdir(filepath) if f.endswith(\".wav\")]\n",
    "    for audio_file_name in files:\n",
    "        exists = os.path.isfile(output_filepath + audio_file_name.split('.')[0] + '.txt')\n",
    "        if exists:\n",
    "            pass\n",
    "        else:\n",
    "            print(audio_file_name)\n",
    "            transcript = transcribe(audio_file_name)\n",
    "            transcript_filename = audio_file_name.split('.')[0] + '.txt'\n",
    "            write_transcripts(transcript_filename,transcript)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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