Cohere
Machine LearningCohere API
Cohere API provides a simple way to add natural language understanding to your application. Here are some examples of how to use Cohere API in your JavaScript code.
Setup
Before you can start using Cohere API, you need to obtain an API key from the website. Once you have the key, you can use it to make requests to the API.
const API_KEY = '<your-api-key>';
Examples
Analyzing Text
To analyze text using Cohere API, you need to send a POST request to the API. Here's an example of how to do that in JavaScript using the fetch API:
const text = 'I want to order a pizza with extra cheese and pepperoni.';
fetch('https://api.cohere.ai/nlp/v1/text', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${API_KEY}`
},
body: JSON.stringify({ text })
})
.then(response => response.json())
.then(data => {
console.log(data);
})
.catch(error => {
console.error(error);
});
This code sends a POST request to the Cohere API endpoint with the text to be analyzed in the request body. The response from the API contains the analyzed text, including entities, intents, and sentiment.
Text Completion
Cohere API can also be used for text completion. Here's an example of how to use it in JavaScript:
const prompt = 'Once upon a time, there was a';
fetch('https://api.cohere.ai/completions/v1/text', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${API_KEY}`
},
body: JSON.stringify({ prompt, model: 'text-davinci-002' })
})
.then(response => response.json())
.then(data => {
console.log(data.choices[0].text);
})
.catch(error => {
console.error(error);
});
This code sends a POST request to the Cohere API endpoint with the prompt in the request body. The response from the API contains the completed text.
Conclusion
Cohere API provides a powerful way to add natural language understanding to your application. With just a few lines of code, you can analyze text and generate text completions. These examples in JavaScript should help you get started quickly.