Files
SillyTavern/src/classify.mjs

90 lines
2.7 KiB
JavaScript

import { pipeline, env } from 'sillytavern-transformers';
import path from 'path';
import { getConfig } from './util.js';
// Limit the number of threads to 1 to avoid issues on Android
env.backends.onnx.wasm.numThreads = 1;
// Use WASM from a local folder to avoid CDN connections
env.backends.onnx.wasm.wasmPaths = path.join(process.cwd(), 'dist') + path.sep;
class PipelineAccessor {
/**
* @type {import("sillytavern-transformers").TextClassificationPipeline}
*/
pipe;
async get() {
if (!this.pipe) {
const cache_dir = path.join(process.cwd(), 'cache');
const model = this.getClassificationModel();
this.pipe = await pipeline('text-classification', model, { cache_dir, quantized: true });
}
return this.pipe;
}
getClassificationModel() {
const DEFAULT_MODEL = 'Cohee/distilbert-base-uncased-go-emotions-onnx';
try {
const config = getConfig();
const model = config?.extras?.classificationModel;
return model || DEFAULT_MODEL;
} catch (error) {
console.warn('Failed to read config.conf, using default classification model.');
return DEFAULT_MODEL;
}
}
}
/**
* @param {import("express").Express} app
* @param {any} jsonParser
*/
function registerEndpoints(app, jsonParser) {
const cacheObject = {};
const pipelineAccessor = new PipelineAccessor();
app.post('/api/extra/classify/labels', jsonParser, async (req, res) => {
try {
const pipe = await pipelineAccessor.get();
const result = Object.keys(pipe.model.config.label2id);
return res.json({ labels: result });
} catch (error) {
console.error(error);
return res.sendStatus(500);
}
});
app.post('/api/extra/classify', jsonParser, async (req, res) => {
try {
const { text } = req.body;
async function getResult(text) {
if (cacheObject.hasOwnProperty(text)) {
return cacheObject[text];
} else {
const pipe = await pipelineAccessor.get();
const result = await pipe(text, { topk: 5 });
result.sort((a, b) => b.score - a.score);
cacheObject[text] = result;
return result;
}
}
console.log('Classify input:', text);
const result = await getResult(text);
console.log('Classify output:', result);
return res.json({ classification: result });
} catch (error) {
console.error(error);
return res.sendStatus(500);
}
});
}
export default {
registerEndpoints,
};