Last active
October 8, 2023 22:47
-
-
Save vdivakar/1f70be4f17f047515b67c3d7bc887da6 to your computer and use it in GitHub Desktop.
Accessing azure text-to-speech cognitive service API using Python and Rest API
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| 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!") |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment