AURORA STK 3.6.9 O começo de uma nova era em i. A PÓS GEMINI E CHATGPT.

[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;