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index.js
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#!/usr/bin/env node
// Example of using API4AI Alcohol Label Recognition.
const fs = require('fs')
const path = require('path')
const axios = require('axios').default
const FormData = require('form-data')
// Use 'demo' mode just to try api4ai for free. Free demo is rate limited.
// For more details visit:
// https://api4.ai
// Use 'rapidapi' if you want to try api4ai via RapidAPI marketplace.
// For more details visit:
// https://rapidapi.com/api4ai-api4ai-default/api/alcohol-label-recognition/details
const MODE = 'demo'
// Your RapidAPI key. Fill this variable with the proper value if you want
// to try api4ai via RapidAPI marketplace.
const RAPIDAPI_KEY = ''
const OPTIONS = {
demo: {
url: 'https://demo.api4ai.cloud/alco-rec/v1/results',
headers: { 'A4A-CLIENT-APP-ID': 'sample' }
},
rapidapi: {
url: 'https://alcohol-label-recognition.p.rapidapi.com/v1/results',
headers: { 'X-RapidAPI-Key': RAPIDAPI_KEY }
}
}
// Parse args: path or URL to image.
const image = process.argv[2] || 'https://storage.googleapis.com/api4ai-static/samples/alco-rec-1.jpg'
// Preapare request: form.
const form = new FormData()
if (image.includes('://')) {
// Data from image URL.
form.append('url', image)
} else {
// Data from local image file.
const fileName = path.basename(image)
form.append('image', fs.readFileSync(image), fileName)
}
// Preapare request: headers.
const headers = {
...OPTIONS[MODE].headers,
...form.getHeaders(),
'Content-Length': form.getLengthSync()
}
// Make request.
axios.post(OPTIONS[MODE].url, form, { headers })
.then(function (response) {
// Print raw response.
console.log(`💬 Raw response:\n${JSON.stringify(response.data)}\n`)
// Parse response and print recognized labels.
let textContent = ''
const labels = response.data.results[0].entities[0].array
for (var i = 0; i < labels.length; i++) {
const label = labels[i]
if (i > 0) {
textContent += '\n\n'
}
textContent += `${label.drink}:`
for (const prop in label) {
if (prop === 'drink') {
continue
}
textContent += `\n 👉 ${prop}: ${label[prop]}`
}
}
console.log(`💬 Labels:\n${textContent}`)
})