{"id":4106,"date":"2023-11-04T23:14:03","date_gmt":"2023-11-04T23:14:03","guid":{"rendered":"http:\/\/localhost:10003\/how-to-create-a-text-to-speech-app-with-python-and-google-cloud-api\/"},"modified":"2023-11-05T05:48:01","modified_gmt":"2023-11-05T05:48:01","slug":"how-to-create-a-text-to-speech-app-with-python-and-google-cloud-api","status":"publish","type":"post","link":"http:\/\/localhost:10003\/how-to-create-a-text-to-speech-app-with-python-and-google-cloud-api\/","title":{"rendered":"How to Create a Text-to-Speech App with Python and Google Cloud API"},"content":{"rendered":"<p>In this tutorial, we will learn how to create a text-to-speech application using Python and the Google Cloud Text-to-Speech API. The Google Cloud Text-to-Speech API allows us to convert text into natural-sounding speech.<\/p>\n<p>By the end of this tutorial, you will have a working text-to-speech app that can read out any text you provide.<\/p>\n<h2>Prerequisites<\/h2>\n<p>Before we begin, make sure you have the following prerequisites:<\/p>\n<ul>\n<li>Basic knowledge of Python programming.<\/li>\n<li>A Google Cloud Platform (GCP) account.<\/li>\n<li>Python 3.x installed on your machine.<\/li>\n<\/ul>\n<h2>Setting Up the Google Cloud Project<\/h2>\n<p>To get started, we need to create a new project in the Google Cloud Platform Console.<\/p>\n<ol>\n<li>Go to the <a href=\"https:\/\/console.cloud.google.com\">Google Cloud Platform Console<\/a> and sign in with your Google account.<\/p>\n<\/li>\n<li>\n<p>Click on the project drop-down and select &#8220;New Project&#8221;.<\/p>\n<\/li>\n<li>\n<p>Give your project a name and click on the &#8220;Create&#8221; button to create the project.<\/p>\n<\/li>\n<li>\n<p>Once the project is created, select it from the project drop-down.<\/p>\n<\/li>\n<li>\n<p>Enable the Text-to-Speech API by going to the API Library and searching for &#8220;Text-to-Speech&#8221;. Click on the API and then click on the &#8220;Enable&#8221; button.<\/p>\n<\/li>\n<li>\n<p>Next, we need to create a service account key. Go to the IAM &amp; Admin > Service Accounts section and click on the &#8220;Create Service Account&#8221; button.<\/p>\n<\/li>\n<li>\n<p>Give your service account a name and click on the &#8220;Create and Continue&#8221; button.<\/p>\n<\/li>\n<li>\n<p>Add the &#8220;Text-to-Speech Admin&#8221; role to the service account and click on the &#8220;Done&#8221; button.<\/p>\n<\/li>\n<li>\n<p>Click on the three dots next to the newly created service account, click on &#8220;Create Key&#8221;, select &#8220;JSON&#8221; as the key type, and click on the &#8220;Create&#8221; button. This will download a JSON key file to your computer.<\/p>\n<\/li>\n<li>\n<p>Finally, set the <code>GOOGLE_APPLICATION_CREDENTIALS<\/code> environment variable to the path of the downloaded service account key file. You can do this by executing the following command in your terminal:<\/p>\n<\/li>\n<\/ol>\n<pre><code class=\"language-bash\">export GOOGLE_APPLICATION_CREDENTIALS=\/path\/to\/key.json\n<\/code><\/pre>\n<p>Make sure to replace <code>\/path\/to\/key.json<\/code> with the actual path to the downloaded key file.<\/p>\n<h2>Installing the Required Libraries<\/h2>\n<p>Next, we need to install the required libraries to interact with the Google Cloud Text-to-Speech API.<\/p>\n<p>Open your terminal and run the following command:<\/p>\n<pre><code class=\"language-bash\">pip install google-cloud-texttospeech\n<\/code><\/pre>\n<p>This command will install the <code>google-cloud-texttospeech<\/code> library, which we will use to programmatically interface with the Text-to-Speech API.<\/p>\n<h2>Creating the Python Text-to-Speech App<\/h2>\n<p>Now that we have set up the Google Cloud project and installed the required libraries, let&#8217;s start building our text-to-speech app.<\/p>\n<p>First, create a new Python file called <code>text_to_speech_app.py<\/code>. Open the file in your favorite text editor or IDE.<\/p>\n<p>Next, let&#8217;s import the required modules and create an instance of the Text-to-Speech client:<\/p>\n<pre><code class=\"language-python\">from google.cloud import texttospeech\n\n# Create the Text-to-Speech client\ntext_to_speech_client = texttospeech.TextToSpeechClient()\n<\/code><\/pre>\n<p>The <code>texttospeech<\/code> module provides the necessary classes and methods to interact with the Google Cloud Text-to-Speech API. The above code creates an instance of the <code>TextToSpeechClient<\/code> class, which we will use to make API requests.<\/p>\n<p>Now, let&#8217;s define a function that takes a text input and converts it to speech:<\/p>\n<pre><code class=\"language-python\">def text_to_speech(text, output_file):\n    # Set the input text\n    synthesis_input = texttospeech.SynthesisInput(text=text)\n\n    # Set the voice parameters\n    voice = texttospeech.VoiceSelectionParams(\n        language_code=\"en-US\",\n        ssml_gender=texttospeech.SsmlVoiceGender.NEUTRAL\n    )\n\n    # Set the audio file format\n    audio_config = texttospeech.AudioConfig(\n        audio_encoding=texttospeech.AudioEncoding.MP3\n    )\n\n    # Perform the text-to-speech conversion\n    response = text_to_speech_client.synthesize_speech(\n        input=synthesis_input, voice=voice, audio_config=audio_config\n    )\n\n    # Write the response to the output file\n    with open(output_file, \"wb\") as f:\n        f.write(response.audio_content)\n<\/code><\/pre>\n<p>In the above code, we define the <code>text_to_speech<\/code> function that takes two parameters: the text to convert and the path to the output file.<\/p>\n<p>Inside the function, we create an instance of the <code>SynthesisInput<\/code> class with the input text. We also set the voice parameters using the <code>VoiceSelectionParams<\/code> class and specify the language code and gender.<\/p>\n<p>Next, we set the audio file format to MP3 using the <code>AudioConfig<\/code> class.<\/p>\n<p>Finally, we call the <code>synthesize_speech<\/code> method on the <code>TextToSpeechClient<\/code> instance and pass in the synthesis input, voice, and audio configuration. The method returns a <code>SynthesizeSpeechResponse<\/code> object, which contains the synthesized audio content.<\/p>\n<p>We then write the audio content to the output file.<\/p>\n<p>Now, let&#8217;s add the main part of our script that interacts with the user:<\/p>\n<pre><code class=\"language-python\">if __name__ == \"__main__\":\n    text = input(\"Enter the text to convert to speech: \")\n    output_file = input(\"Enter the path for the output audio file: \")\n\n    text_to_speech(text, output_file)\n\n    print(\"Text-to-speech conversion successful!\")\n<\/code><\/pre>\n<p>In the above code, we use the <code>input<\/code> function to get the text and output file path from the user. We then call the <code>text_to_speech<\/code> function with these inputs.<\/p>\n<p>Finally, we print a success message to the console.<\/p>\n<h2>Running the Text-to-Speech App<\/h2>\n<p>To run the text-to-speech app, open your terminal and navigate to the directory where you saved the <code>text_to_speech_app.py<\/code> file.<\/p>\n<p>Execute the following command:<\/p>\n<pre><code class=\"language-bash\">python text_to_speech_app.py\n<\/code><\/pre>\n<p>You will be prompted to enter the text and the output file path. After entering the inputs, press enter to start the conversion process.<\/p>\n<p>The app will send a request to the Google Cloud Text-to-Speech API and save the synthesized audio to the specified output file.<\/p>\n<p>Once the conversion is complete, you will see the success message on the console.<\/p>\n<p>Congratulations! You have created a text-to-speech app using Python and the Google Cloud Text-to-Speech API.<\/p>\n<h2>Conclusion<\/h2>\n<p>In this tutorial, we learned how to create a text-to-speech app using Python and the Google Cloud Text-to-Speech API.<\/p>\n<p>We set up a Google Cloud project, installed the necessary libraries, and wrote Python code to convert text to speech.<\/p>\n<p>By following this tutorial, you can now build your own text-to-speech applications and explore the various features and options provided by the Google Cloud Text-to-Speech API.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this tutorial, we will learn how to create a text-to-speech application using Python and the Google Cloud Text-to-Speech API. The Google Cloud Text-to-Speech API allows us to convert text into natural-sounding speech. By the end of this tutorial, you will have a working text-to-speech app that can read out <a href=\"http:\/\/localhost:10003\/how-to-create-a-text-to-speech-app-with-python-and-google-cloud-api\/\" class=\"btn btn-link continue-link\">Continue Reading<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","footnotes":""},"categories":[1],"tags":[261,39,1314,1313,41,75,555,1228,1231,1312],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v21.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to Create a Text-to-Speech App with Python and Google Cloud API - Pantherax Blogs<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/localhost:10003\/how-to-create-a-text-to-speech-app-with-python-and-google-cloud-api\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to Create a Text-to-Speech App with Python and Google Cloud API\" \/>\n<meta property=\"og:description\" content=\"In this tutorial, we will learn how to create a text-to-speech application using Python and the Google Cloud Text-to-Speech API. 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