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Yegór Kryukov yegorkryukov

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# launch the job
job_status = start_transcribe_job(transcribe, JOB_NAME, BUCKET_NAME, FILE_NAME)
# if job launched successfully `job_status` will be True
if job_status: # and we can start requesting the results from the service
text = get_transcription_text(transcribe, JOB_NAME)
print(f'The transcribed text for {FILE_NAME} file:')
print(text)
else: # or print the error code if somethign went wrong
print(f'Job {JOB_NAME} failed with the error: {job_status}')
def get_transcription_text(transcribe, job_name):
"""Returns transcription text for the AWS Transcribe job
Parameters
----------
transcribe : AWS `transcribe` service client instance
job_name : transcribe service `job` name
Returns
-------
def start_transcribe_job(transcribe, job_name, bucket, file):
"""Starts an AWS Transcribe job
Parameters
----------
transcribe : AWS `transcribe` service client instance
job_name : str, name of the AWS job
bucket : str, AWS S3 bucket name
file : str, name of the mp3 file to transcribe
import boto3
BUCKET_NAME = <'YOUR-S3-BUCKET-NAME'>
FILE_NAME = <'YOUR-AUDIO-FILENAME.mp3'>
JOB_NAME = <'YOUR-TRANSCRIBE-JOB-NAME'> # can be anything
# Instantiate a client to the AWS transcribe service
transcribe = boto3.client(
'transcribe',
aws_access_key_id=AWS_ACCESS_KEY_ID,
# 'rootkey.csv' is the file you've downloaded from AWS
with open('rootkey.csv', 'r') as f:
content = f.readlines()
keys = {}
for line in content:
pair = line.strip().split('=')
keys.update({pair[0] : pair[1]})
AWS_ACCESS_KEY_ID = keys['AWSAccessKeyId']
import boto3
import time
import urllib.request
import json

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