!function(){var t,e,n,r,o,i,u,c,s={495:function(){},7147:function(){},1418:function(){},3380:function(){},319:function(){},8386:function(){},3342:function(){},4245:function(t,e,n){"use strict";var r=n(4975);r.OBj.allowLocalModels=!1;class o{static async getInstance(){let t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:null;return null===this.instance&&(this.instance=(0,r.EUT)(this.task,this.model,{progress_callback:t})),this.instance}}o.task="text-classification",o.model="Xenova/distilbert-base-uncased-finetuned-sst-2-english",o.instance=null,self.addEventListener("message",async t=>{let e=await o.getInstance(t=>{self.postMessage(t)}),n=await e(t.data.text);self.postMessage({status:"complete",output:n})})}},f={};function a(t){var e=f[t];if(void 0!==e)return e.exports;var n=f[t]={exports:{}},r=!0;try{s[t](n,n.exports,a),r=!1}finally{r&&delete f[t]}return n.exports}a.m=s,a.x=function(){var t=a.O(void 0,[15,587],function(){return a(4245)});return a.O(t)},t=[],a.O=function(e,n,r,o){if(n){o=o||0;for(var i=t.length;i>0&&t[i-1][2]>o;i--)t[i]=t[i-1];t[i]=[n,r,o];return}for(var u=1/0,i=0;i=o&&Object.keys(a.O).every(function(t){return a.O[t](n[s])})?n.splice(s--,1):(c=!1,o