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Accessing azure text-to-speech cognitive service API using Python and Rest API
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import requests | |
import time | |
import os | |
subscription_key = 'YOUR_SUBSCRIPTION_KEY' | |
location = "<country>" | |
input_file = "sentences.txt" | |
output_folder = "output_mp3" | |
if not os.path.exists(output_folder): | |
os.makedirs(output_folder) | |
if subscription_key == 'YOUR_SUBSCRIPTION_KEY': | |
print("Kindly modify the subscription key inside this file (line 5). \nExiting...") | |
exit() | |
def get_token(): | |
token_url = "https://{}.api.cognitive.microsoft.com/sts/v1.0/issueToken".format(location) | |
headers = { | |
'Ocp-Apim-Subscription-Key' : subscription_key | |
} | |
response = requests.post(token_url, headers=headers) | |
access_token = str(response.text) | |
return access_token | |
def generate_speech(input_text, outfile, token): | |
url = "https://{}.tts.speech.microsoft.com/cognitiveservices/v1".format(location) | |
header = { | |
'Authorization': 'Bearer '+str(token), | |
'Content-Type': 'application/ssml+xml', | |
'X-Microsoft-OutputFormat': 'audio-24khz-160kbitrate-mono-mp3' | |
} | |
''' | |
You can customise your speech output here | |
by changing language, gender and name | |
''' | |
data = "<speak version='1.0' xml:lang='en-US'>\ | |
<voice xml:lang='en-US' xml:gender='Female' name='en-US-AriaNeural'>\ | |
{}\ | |
</voice>\ | |
</speak>".format(input_text) | |
try: | |
response = requests.post(url, headers=header, data=data) | |
response.raise_for_status() | |
with open(outfile, "wb") as file: | |
file.write(response.content) | |
print(response) | |
response.close() | |
except Exception as e: | |
print("ERROR: ", e) | |
def sleep_and_refresh(i): | |
if i>0 and i%7==0: # Extra sleep | |
time.sleep(61) | |
return get_token() # Generate new token | |
if __name__ == "__main__": | |
token = get_token() # Each Token is valid for 10 minutes | |
with open(input_file, 'r') as infile: | |
sentences = infile.readlines() | |
for i, sentence in enumerate(sentences): | |
print(i, sentence) | |
outfile = os.path.join(output_folder, "{}_azure.mp3".format(i)) | |
generate_speech(sentence, outfile, token) | |
time.sleep(1) # Avoiding too many requests | |
# token = sleep_and_refresh(i) # Enable only when input file is large | |
print("DONE!") |
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