app.py

import os
import time
from dotenv import load_dotenv
import azure.cognitiveservices.speech as speechsdk

# Load the speech key and region from the .env file
load_dotenv()
key = os.getenv("KEY")
region = os.getenv("REGION")

stop = False

# When a sentence is recognized, print it to the screen.
# If stop is said, stop the app
def recognized(args):
    global stop
    if args.result.reason == speechsdk.ResultReason.TranslatedSpeech:
        #       print("Any Variable   :", args.result.translations['Spoken Language will be converted to this language.'])
        print("Chinese   :", args.result.translations["zh-Hans"])
        print("English   :", args.result.translations["en"])
        print("French    :", args.result.translations["fr"])
        print("German    :", args.result.translations["de"])
        print()

        if args.result.translations["en"] == "Stop.":
            stop = True


# Create a speech translation configuration using the following:
#  The API key and region loaded from the .env file
#  The language that will be recognized, in this example Great British English (en-GB)
#  The languages to be translated to, in this case Chinese, English, French and German
#
# See https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/language-support?WT.mc_id=build2020_ca-github-jabenn
# for the list of supported languages that can be recognized and translated to
translation_config = speechsdk.translation.SpeechTranslationConfig(subscription=key,
                                                                   region=region,
                                                                   speech_recognition_language="en-GB",
                                                                   target_languages=("zh-Hans", "en", "fr", "de"))

# Creates a translation recognizer
recognizer = speechsdk.translation.TranslationRecognizer(translation_config=translation_config)

# Connect up the recognized event
recognizer.recognized.connect(recognized)

# Start continuous recognition
# This happens in the background, so the app continues to run, hence the need for an infinite loop
recognizer.start_continuous_recognition()

print("Say something! Say stop when you are done.")

# Loop until we hear stop
while not stop:
    time.sleep(0.1)