AURORA STK 3.6.9 I. A

[felipeliliti]

[26/6 14:38] h: aurora-ia ├── components ├── models │ ├── nlpModel.js │ ├── visionModel.js │ └── audioModel.js ├── pages │ ├── api │ │ ├── nlp.js │ │ ├── vision.js │ │ └── audio.js │ ├── index.js │ ├── nlp.js │ ├── vision.js │ └── audio.js ├── public ├── styles ├── Dockerfile ├── package.json └── README.md [26/6 14:38] h: { "name": "aurora-ia", "version": "1.0.0", "scripts": { "dev": "next dev", "build": "next build", "start": "next start" }, "dependencies": { "express": "^4.17.1", "next": "latest", "react": "latest", "react-dom": "latest", "@tensorflow/tfjs": "latest", "@tensorflow/tfjs-node": "latest" } } [26/6 14:38] h: FROM node:14

WORKDIR /app

COPY package*.json ./

RUN npm install

COPY . .

EXPOSE 3000

CMD ["npm", "run", "dev"] [26/6 14:38] h: const tf = require('@tensorflow/tfjs-node');

const createNLPModel = () => { const model = tf.sequential(); model.add(tf.layers.embedding({ inputDim: 10000, outputDim: 64 })); model.add(tf.layers.bidirectional({ layer: tf.layers.lstm({ units: 64 }) })); model.add(tf.layers.dense({ units: 64, activation: 'relu' })); model.add(tf.layers.dense({ units: 1 }));

model.compile({ loss: 'binaryCrossentropy', optimizer: 'adam', metrics: ['accuracy'] }); return model; };

module.exports = createNLPModel; [26/6 14:39] h: const tf = require('@tensorflow/tfjs-node');

const createAudioModel = () => { const model = tf.sequential(); model.add(tf.layers.dense({ inputShape: [20], units: 64, activation: 'relu' })); model.add(tf.layers.dense({ units: 64, activation: 'relu' })); model.add(tf.layers.dense({ units: 1 }));

model.compile({ loss: 'meanSquaredError', optimizer: 'adam' }); return model; };

module.exports = createAudioModel; [26/6 14:39] h: import createNLPModel from '../../models/nlpModel';

export default async (req, res) => { const model = createNLPModel(); // Adicione seu código de treinamento e predição aqui res.status(200).json({ message: 'NLP Model endpoint' }); }; [26/6 14:39] h: import createVisionModel from '../../models/visionModel';

export default async (req, res) => { const model = createVisionModel(); // Adicione seu código de treinamento e predição aqui res.status(200).json({ message: 'Vision Model endpoint' }); }; [26/6 14:42] h: import Link from 'next/link';

const Home = () => (

Welcome to AURORA I.A 3.6.9

• NLP
• Vision
• Audio

);

export default Home; [26/6 14:42] h: const NLP = () => (

NLP Module

Integrate NLP functionalities here.

);

export default NLP; [26/6 14:43] h: const Vision = () => (

Vision Module

Integrate Vision functionalities here.

);

export default Vision; [26/6 14:43] h: const Audio = () => (

Audio Module

Integrate Audio functionalities here.

);

export default Audio;