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import requests
import os
import boto3
from botocore import client
from datetime import datetime
from unidecode import unidecode
from langdetect import detect
from consts.locale import locales
from utils.tts import text_to_speech
from dotenv import load_dotenv
load_dotenv()
s3 = boto3.resource(
service_name=os.environ["S3_SERVICE_NAME"],
region_name=os.environ["S3_REGION_NAME"],
aws_access_key_id=os.environ["AWS_ACCESS_KEY_ID"],
aws_secret_access_key=os.environ["AWS_SECRET_ACCESS_KEY"],
)
API_URL = 'https://westus.tts.speech.microsoft.com/cognitiveservices/v1'
headers = {
'X-Microsoft-OutputFormat': 'riff-24khz-16bit-mono-pcm',
'Content-Type': 'application/ssml+xml',
'Host': 'westus.tts.speech.microsoft.com',
'Ocp-Apim-Subscription-Key': os.environ["SPEECH_ACCESS_TOKEN"],
'User-Agent': '<Your application name>'
}
def texttospeech (text, to_lang=None):
global s3
# global s3
# s3.Bucket(os.environ["S3_BUCKET_NAME"]).upload_file('output_audio.wav', 'output_audio.wav')
# try:
# # get file from aws s3
# result = s3.Bucket(os.environ["S3_BUCKET_NAME"]).download_file('output_audio2.wav', 'output_audio23.wav')
try:
lang = to_lang or detect(text)
if lang not in locales: return False
converted_text = unidecode(text)
print(converted_text)
# The SSML message
ssml_message = f'''
<speak version='1.0' xml:lang='{locales[lang]["locale"]}'><voice xml:lang='{locales[lang]["locale"]}' xml:gender='{locales[lang]["gender"]}'
name='{locales[lang]["short_name"]}'>
{converted_text}
</voice></speak>'''
# Calculate the length of your SSML message
content_length = len(ssml_message.encode('utf-8'))
# Headers
headers['Content-Length'] = str(content_length)
# Making the POST request
response = requests.post(API_URL, headers=headers, data=ssml_message)
print(response, 'response')
if response.status_code != 200: return False
# Upload the content to aws s3
now = str(datetime.now()).replace(':', '-')
path = f'tmp/{now}.wav'
s3_path = f'speech/{now}.wav'
# Assuming you want to save the response (audio content) to a file
with open(path, 'wb') as audio_file:
print(path, 'path')
audio_file.write(response.content)
s3.Bucket(os.environ["S3_BUCKET_NAME"]).upload_file(path, s3_path)
url = s3.meta.client.generate_presigned_url(
ClientMethod='get_object',
Params={
'Bucket': os.environ["S3_BUCKET_NAME"],
'Key': s3_path
}
)
return url
except Exception as e:
print('error occurred!', str(e))
return False
def texttospeech2 (text, to_lang=None):
global s3
# global s3
# s3.Bucket(os.environ["S3_BUCKET_NAME"]).upload_file('output_audio.wav', 'output_audio.wav')
# try:
# # get file from aws s3
# result = s3.Bucket(os.environ["S3_BUCKET_NAME"]).download_file('output_audio2.wav', 'output_audio23.wav')
try:
lang = to_lang or detect(text)
if lang not in locales: return False
# Upload the content to aws s3
now = str(datetime.now())
path = f'tmp/{now}.wav'
s3_path = f'speech/{now}.wav'
result = text_to_speech(text, lang, path)
if not result: return False
s3.Bucket(os.environ["S3_BUCKET_NAME"]).upload_file(path, s3_path)
url = s3.meta.client.generate_presigned_url(
ClientMethod='get_object',
Params={
'Bucket': os.environ["S3_BUCKET_NAME"],
'Key': s3_path
}
)
os.remove(path)
return url
except Exception as e:
print(e)
return False |