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feat: add wit.ai support

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This commit is contained in:
GramingFoxTeam
2023-03-19 22:24:29 +03:00
parent 84a290933f
commit 1909e2c421
8 changed files with 42 additions and 54 deletions
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10
server/config.example.json
View File

@@ -2,13 +2,7 @@
"server": {
"port": 3000
},
"transformers": {
"model": "./model.onnx",
"tokenizer": "./tokenizer.json",
"instruction": "Instruction: given a dialog context and related knowledge, you need to answer the question based on the knowledge.",
"knowledge": [
"ReVanced is a generic patcher that allows you to modify the behavior of any Dalvik based Android application"
]
"witAI": {
"authToken": "AUTH-TOKEN"
}
}

21
server/events/ai.js
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@@ -1,24 +1,19 @@
import { serialize } from 'bson';
async function generateResponse(tokenizer, model, config, dialog) {
const knowledge = `[KNOWLEDGE] ${config.knowledge.join(' ')}`;
const context = `[CONTEXT] ${dialog.substring(0, 64)}`;
export default async function runAI(client, data, config) {
const witAIReq = await fetch(`https://api.wit.ai/message?v20230319&q=${encodeURI(data.text)}`, {
headers: {
authorization: `Bearer ${config.authToken}`
}
});
const query = `${config.instruction} ${context} ${knowledge}`;
const inputTokenIds = tokenizer.encode(query);
const outputTokenIds = await model.generate(inputTokenIds, { maxLength: 64, topK: 10 });
return await tokenizer.decode(outputTokenIds, true);
}
export default async function runAI(client, data, tokenizer, model, config) {
const response = await generateResponse(tokenizer, model, config, data.text);
const response = await witAIReq.json();
client.write(
serialize({
op: 2,
id: data.id,
response
response: response.intents
})
);

13
server/index.js
View File

@@ -1,21 +1,10 @@
import { readFileSync } from 'node:fs';
// Fix __dirname not being defined in ES modules. (https://stackoverflow.com/a/64383997)
import { fileURLToPath } from 'node:url';
import { dirname } from 'node:path';
const __filename = fileURLToPath(import.meta.url);
const __dirname = dirname(__filename);
const config = JSON.parse(readFileSync('./config.json', 'utf-8'));
import { createServer } from 'node:net';
import { deserialize } from 'bson';
import transformers from 'transformers-nodejs';
import { runAI, runOCR } from './events/index.js';
const tokenizer = await transformers.AutoTokenizer.fromPretrained(config.transformers.tokenizer);
const model = await transformers.AutoModelForSeq2SeqLM.fromPretrained(config.transformers.model);
const server = createServer(async (client) => {
client.on('data', async (data) => {
const eventData = deserialize(data, {
@@ -24,7 +13,7 @@ const server = createServer(async (client) => {
switch (eventData.op) {
case 1: {
runAI(client, eventData, tokenizer, model, config.transformers);
runAI(client, eventData, config.witAI);
break;
}