![]() Synthesize_speech ( "Hello, world!", "output.mp3" ) audio_content ) print ( f"Audio content written to ' '" ) # Test the text-to-speech function ) # Save the audio to a file with open (outputwb" ) as out : synthesize_speech ( input =input_text, voice =voice, audio_config =audio_config AudioConfig (Īudio_encoding =texttospeech. SynthesisInput (text =text ) # Configure the voice settings TextToSpeechClient ( ) # Set the text input cloud import texttospeechĭef synthesize_speech (text, output_filename ) : # Create a Text-to-Speech clientĬlient = texttospeech. (Replace /path/to/your/keyfile.json with the actual path to your JSON key file.)Ĭreate a new Python script (such as text_to_speech.py) and add the following code: from google. Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path of the JSON key file you downloaded earlier: export GOOGLE_APPLICATION_CREDENTIALS = "/path/to/your/keyfile.json" Install the Google Cloud Text-to-Speech library for Python: pip install -upgrade google-cloud-texttospeech Install the Google Cloud SDK by following the instructions here. Download the JSON key file and store it securely, as it contains sensitive information.Under Keys, click Add Key and select JSON.In the Service Accounts list, click on the newly created service account.Click Done to create the service account.On the Grant this service account access to project page, select the Cloud Text-to-Speech API User role and click Continue.Fill in the required details and click Create.Click Create credentials and select Service account.In the left sidebar, click on APIs & Services > Credentials.Click Enable to enable the API for your project.Search for Text-to-Speech API and click on the result.In the left sidebar, click on APIs & Services > Library.Click on the project dropdown and create a new project or select an existing one.Log in to your GCP account and navigate to the GCP console.A text editor or integrated development environment of your choice.If you don’t have one, sign up for a free trial here. A Google Cloud Platform (GCP) account. ![]() Using Google’s for Text-to-Speech API Prerequisitesīefore we start, ensure that you have the following: This helps companies save time and resources while maintaining a high level of customer satisfaction. Telecommunications: The TTS API can be integrated into Interactive Voice Response (IVR) systems, enabling businesses to automate customer service calls, provide information to callers, and route them to the appropriate departments.This enables them to reach a broader audience, including those who prefer listening to content over reading it. ![]() Content Marketing: Businesses can leverage the TTS API to create audio versions of their blog posts, articles, and other marketing materials.By generating accurate and natural-sounding speech, the TTS API can help users improve their listening skills, pronunciation, and overall language comprehension. Language Learning: The API supports multiple languages, making it a valuable tool for language learning applications.This not only saves time and resources on manual narration but also allows for rapid content creation and distribution. Audiobooks: The Google TTS API can be used to convert written content into audiobooks, providing an alternative way for users to enjoy books, articles, and other written materials.This enables students to consume educational content while on the go, multitasking, or simply preferring to listen rather than read. E-Learning: In the education sector, the Google TTS API can be utilized to create audio versions of textbooks, articles, and other learning materials. ![]() This enhances user experience and enables developers to create more engaging and interactive applications.
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