[OpenAI] Add sample for tts (#30507)
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Deyaaeldeen Almahallawi
GitHub
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Коммит
796c37798e
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// Copyright (c) Microsoft Corporation.
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// Licensed under the MIT License.
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/**
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* Demonstrates how to convert text into speech.
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*
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* @summary text to speech.
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* @azsdk-weight 100
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*/
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import "openai/shims/node";
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import { AzureOpenAI } from "openai";
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import { DefaultAzureCredential, getBearerTokenProvider } from "@azure/identity";
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import { writeFile } from "fs/promises";
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// Set AZURE_OPENAI_ENDPOINT to the endpoint of your
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// OpenAI resource. You can find this in the Azure portal.
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// Load the .env file if it exists
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import "dotenv/config";
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// You will need to set these environment variables or edit the following values
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const speechFilePath = process.env["SPEECH_FILE_PATH"] || "<path to save the speech file>";
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// Corresponds to your Model deployment within your OpenAI resource
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// Navigate to the Azure OpenAI Studio to deploy a model.
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const deployment = "tts";
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const apiVersion = "2024-05-01-preview";
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const credential = new DefaultAzureCredential();
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const scope = "https://cognitiveservices.azure.com/.default";
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const azureADTokenProvider = getBearerTokenProvider(credential, scope);
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export async function main() {
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console.log("== Text to Speech Sample ==");
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const openai = new AzureOpenAI({ azureADTokenProvider, deployment, apiVersion });
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const response = await openai.audio.speech.create({
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model: deployment,
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voice: "alloy",
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input: "the quick brown chicken jumped over the lazy dogs",
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});
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const stream = response.body;
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console.log(`Streaming response to ${speechFilePath}`);
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await writeFile(speechFilePath, stream);
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console.log("Finished streaming");
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}
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main().catch((err) => {
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console.error("The sample encountered an error:", err);
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});
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@ -26,6 +26,7 @@ These sample programs show how to use the JavaScript client libraries for Azure
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| [streamChatCompletions.js][streamchatcompletions] | list chat completions. |
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| [streamChatCompletionsWithContentFilter.js][streamchatcompletionswithcontentfilter] | get completions. |
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| [streamCompletions.js][streamcompletions] | list completions. |
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| [textToSpeech.js][texttospeech] | text to speech. |
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| [toolCall.js][toolcall] | get chat completions with functions. |
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## Prerequisites
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@ -79,6 +80,7 @@ Take a look at our [API Documentation][apiref] for more information about the AP
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[streamchatcompletions]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/openai/openai/samples/v2-beta/javascript/streamChatCompletions.js
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[streamchatcompletionswithcontentfilter]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/openai/openai/samples/v2-beta/javascript/streamChatCompletionsWithContentFilter.js
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[streamcompletions]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/openai/openai/samples/v2-beta/javascript/streamCompletions.js
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[texttospeech]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/openai/openai/samples/v2-beta/javascript/textToSpeech.js
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[toolcall]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/openai/openai/samples/v2-beta/javascript/toolCall.js
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[apiref]: https://docs.microsoft.com/javascript/api/@azure/openai
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[freesub]: https://azure.microsoft.com/free/
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// Copyright (c) Microsoft Corporation.
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// Licensed under the MIT License.
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/**
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* Demonstrates how to convert text into speech.
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*
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* @summary text to speech.
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*/
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require("openai/shims/node");
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const { AzureOpenAI } = require("openai");
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const { DefaultAzureCredential, getBearerTokenProvider } = require("@azure/identity");
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const { writeFile } = require("fs/promises");
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// Set AZURE_OPENAI_ENDPOINT to the endpoint of your
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// OpenAI resource. You can find this in the Azure portal.
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// Load the .env file if it exists
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require("dotenv/config");
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// You will need to set these environment variables or edit the following values
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const speechFilePath = process.env["SPEECH_FILE_PATH"] || "<path to save the speech file>";
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// Corresponds to your Model deployment within your OpenAI resource
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// Navigate to the Azure OpenAI Studio to deploy a model.
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const deployment = "tts";
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const apiVersion = "2024-05-01-preview";
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const credential = new DefaultAzureCredential();
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const scope = "https://cognitiveservices.azure.com/.default";
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const azureADTokenProvider = getBearerTokenProvider(credential, scope);
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async function main() {
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console.log("== Text to Speech Sample ==");
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const openai = new AzureOpenAI({ azureADTokenProvider, deployment, apiVersion });
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const response = await openai.audio.speech.create({
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model: deployment,
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voice: "alloy",
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input: "the quick brown chicken jumped over the lazy dogs",
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});
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const stream = response.body;
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console.log(`Streaming response to ${speechFilePath}`);
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await writeFile(speechFilePath, stream);
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console.log("Finished streaming");
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}
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main().catch((err) => {
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console.error("The sample encountered an error:", err);
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});
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module.exports = { main };
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@ -26,6 +26,7 @@ These sample programs show how to use the TypeScript client libraries for Azure
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| [streamChatCompletions.ts][streamchatcompletions] | list chat completions. |
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| [streamChatCompletionsWithContentFilter.ts][streamchatcompletionswithcontentfilter] | get completions. |
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| [streamCompletions.ts][streamcompletions] | list completions. |
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| [textToSpeech.ts][texttospeech] | text to speech. |
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| [toolCall.ts][toolcall] | get chat completions with functions. |
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## Prerequisites
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@ -91,6 +92,7 @@ Take a look at our [API Documentation][apiref] for more information about the AP
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[streamchatcompletions]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/openai/openai/samples/v2-beta/typescript/src/streamChatCompletions.ts
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[streamchatcompletionswithcontentfilter]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/openai/openai/samples/v2-beta/typescript/src/streamChatCompletionsWithContentFilter.ts
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[streamcompletions]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/openai/openai/samples/v2-beta/typescript/src/streamCompletions.ts
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[texttospeech]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/openai/openai/samples/v2-beta/typescript/src/textToSpeech.ts
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[toolcall]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/openai/openai/samples/v2-beta/typescript/src/toolCall.ts
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[apiref]: https://docs.microsoft.com/javascript/api/@azure/openai
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[freesub]: https://azure.microsoft.com/free/
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@ -0,0 +1,49 @@
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// Copyright (c) Microsoft Corporation.
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// Licensed under the MIT License.
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/**
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* Demonstrates how to convert text into speech.
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*
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* @summary text to speech.
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*/
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import "openai/shims/node";
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import { AzureOpenAI } from "openai";
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import { DefaultAzureCredential, getBearerTokenProvider } from "@azure/identity";
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import { writeFile } from "fs/promises";
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// Set AZURE_OPENAI_ENDPOINT to the endpoint of your
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// OpenAI resource. You can find this in the Azure portal.
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// Load the .env file if it exists
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import "dotenv/config";
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// You will need to set these environment variables or edit the following values
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const speechFilePath = process.env["SPEECH_FILE_PATH"] || "<path to save the speech file>";
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// Corresponds to your Model deployment within your OpenAI resource
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// Navigate to the Azure OpenAI Studio to deploy a model.
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const deployment = "tts";
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const apiVersion = "2024-05-01-preview";
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const credential = new DefaultAzureCredential();
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const scope = "https://cognitiveservices.azure.com/.default";
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const azureADTokenProvider = getBearerTokenProvider(credential, scope);
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export async function main() {
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console.log("== Text to Speech Sample ==");
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const openai = new AzureOpenAI({ azureADTokenProvider, deployment, apiVersion });
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const response = await openai.audio.speech.create({
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model: deployment,
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voice: "alloy",
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input: "the quick brown chicken jumped over the lazy dogs",
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});
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const stream = response.body;
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console.log(`Streaming response to ${speechFilePath}`);
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await writeFile(speechFilePath, stream);
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console.log("Finished streaming");
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}
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main().catch((err) => {
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console.error("The sample encountered an error:", err);
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});
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