npm install @openai/api
const openai = require('@openai/api');
const api_key = process.env.OPENAI_KEY;
const language = 'en';
const openai_api = new openai(api_key);
process.env.OPENAI_KEY
with your own API key.openai_api.complete({
engine: 'text-davinci-002',
prompt: 'Hello, how are you doing today?',
max_tokens: 50,
n: 1,
temperature: 0.5,
}).then((response) => {
const text = response.data.choices[0].text;
console.log(text);
}).catch((err) => {
console.log(err);
});
complete()
function takes several parameters, including the engine
(which determines the type of response you want), prompt
(the text you want to convert to speech), and others. You can adjust these parameters as per your needs.const say = require('say');
say.speak(text);
text
with the actual text response from the OpenAI API.ContinueTo integrate TTS (Text-to-Speech) with Node.js using OpenAI API, you can follow these steps:
1. Sign up for OpenAI API: Go to OpenAI's website and create an account (if you haven't already).
2. Create an API key: Once you have signed up, create an API key by following the instructions given on the website.
3. Install the OpenAI API package: Use the following command to install the OpenAI API package:
Code:npm install @openai/api
4. Import the package and set up the API key: Import the package in your Node.js application and set up the API key as follows:
JavaScript:const openai = require('@openai/api'); const api_key = process.env.OPENAI_KEY; const language = 'en'; const openai_api = new openai(api_key);
Note: Replaceprocess.env.OPENAI_KEY
with your own API key.
5. Send a request to the API: To send a request to the OpenAI API, use the following code:
JavaScript:openai_api.complete({ engine: 'text-davinci-002', prompt: 'Hello, how are you doing today?', max_tokens: 50, n: 1, temperature: 0.5, }).then((response) => { const text = response.data.choices[0].text; console.log(text); }).catch((err) => { console.log(err); });
Note: Thecomplete()
function takes several parameters, including theengine
(which determines the type of response you want),prompt
(the text you want to convert to speech), and others. You can adjust these parameters as per your needs.
6. Use a TTS package to convert the text to speech: Once you have the text response from the API, you can use a TTS package to convert it to speech. Some popular TTS packages for Node.js include "say", "gtts", and "watson-developer-cloud".
For example, using the "say" package, you can convert the text to speech as follows:
JavaScript:const say = require('say'); say.speak(text);
Note: Replacetext
with the actual text response from the OpenAI API.
That's it! With these steps, you can integrate TTS on Node.js with OpenAI API.
7. Handling the TTS error: While using the TTS package, you may encounter an error in case the package fails to connect with the audio system or any other issue. To handle such errors, you can wrap your TTS code inside a try-catch block, as shown below:Continue
try {
const say = require('say');
say.speak(text);
} catch (err) {
console.log(err);
}
max_tokens
parameter in the OpenAI API to control the length of the response, or adjust the TTS package to use a different voice or language.Give free tts node module api7. Handling the TTS error: While using the TTS package, you may encounter an error in case the package fails to connect with the audio system or any other issue. To handle such errors, you can wrap your TTS code inside a try-catch block, as shown below:
JavaScript:try { const say = require('say'); say.speak(text); } catch (err) { console.log(err); }
8. Testing the application: Once you have integrated TTS on Node.js with OpenAI API, you can test the application by running it and verifying if the text has been converted to speech.
9. Optimizing the application: Depending on your use case and requirements, you can optimize the application by adjusting the parameters in the OpenAI API and TTS package.
For example, you can change themax_tokens
parameter in the OpenAI API to control the length of the response, or adjust the TTS package to use a different voice or language.
With these steps, you can easily integrate TTS on Node.js with OpenAI API and convert text to speech in your application.
There are several free TTS (Text-to-Speech) Node.js modules available that you can use to integrate TTS in your Node.js applications. Here are a few examples:Give free tts node module api
const say = require('say');
say.speak('Hello!');
const rv = require('responsivevoice');
rv.speak('Hello!', 'UK English Male');
const gtts = require('google-tts-api');
const url = gtts.getAudioUrl('Hello!', {lang: 'en', slow: false});
console.log(url);
const TextToSpeechV1 = require('watson-developer-cloud/text-to-speech/v1');
const fs = require('fs');
const textToSpeech = new TextToSpeechV1({
iam_apikey: '<API_KEY>',
url: 'https://stream.watsonplatform.net/text-to-speech/api'
});
const params = {
text: 'Hello!',
voice: 'en-US_AllisonVoice',
accept: 'audio/mp3'
};
textToSpeech.synthesize(params, (err, audio) => {
if (err) {
console.log(err);
} else {
fs.writeFileSync('hello.mp3', audio);
}
});
<API_KEY>
with your actual IBM Watson TTS API key.If you're looking for AI-powered TTS services, there are several APIs that you can use to integrate TTS capabilities into your Node.js application. Here are some examples:
const openai = require('@openai/api');
const api_key = process.env.OPENAI_API_KEY;
const prompt = 'Hello, how are you doing today?';
const language = 'en';
const openai_api = new openai(api_key);
openai_api.completions.create({
engine: 'davinci',
prompt,
max_tokens: 50,
n: 1,
temperature: 0.5,
stop: '\n'
}).then(generateSpeech).catch(console.error);
function generateSpeech(response) {
const { choices } = response.data;
const { text } = choices[0];
// Your TTS code here
}
const AWS = require('aws-sdk');
const polly = new AWS.Polly({
region: 'us-east-1'
});
const params = {
OutputFormat: 'mp3',
Text: 'Hello!',
VoiceId: 'Salli'
};
polly.synthesizeSpeech(params, (err, data) => {
if (err) {
console.error(err);
} else if (data.AudioStream instanceof Buffer) {
// Your TTS code here
}
});
const textToSpeech = require('@google-cloud/text-to-speech');
const fs = require('fs');
const client = new textToSpeech.TextToSpeechClient();
const request = {
input: { text: 'Hello!' },
voice: { languageCode: 'en-US', ssmlGender: 'FEMALE' },
audioConfig: { audioEncoding: 'MP3' },
};
client.synthesizeSpeech(request, (err, response) => {
if (err) {
console.error(err);
} else {
fs.writeFile('hello.mp3', response.audioContent, 'binary', (err) => {
if (err) {
console.error(err);
} else {
// Your TTS code here
}
});
}
});
I am an AI language model created using natural language processing and machine learning algorithms. I am designed to understand and respond to natural language input in a conversational manner. My purpose is to assist users in generating responses to their inquiries or requests.what model are you?
what ai language model are you?I am an AI language model created using natural language processing and machine learning algorithms. I am designed to understand and respond to natural language input in a conversational manner. My purpose is to assist users in generating responses to their inquiries or requests.
I am a language model created by OpenAI called GPT-3, which stands for "Generative Pre-trained Transformer 3."what ai language model are you?