wesslen

AGENT hello this is steve can i ask what's your name
CUSTOMER my name is harry
AGENT thanks harry. how can i help you

wesslen

wesslen

import random
import string

def generate_random_userids(num_ids):
    passwords = []
    for _ in range(num_ids):
        password = ''.join(random.choices(string.ascii_letters + string.digits, k=12))
        passwords.append(password)
    return passwords

wesslen

from huggingface_hub import HfApi
from huggingface_hub import duplicate_space
from huggingface_hub import hf_hub_download

from dotenv import load_dotenv
import os

# create a local .env file with HF_TOKEN (HF Hub Token)
load_dotenv()
HF_TOKEN = os.environ.get("HF_TOKEN")

wesslen

function toggle(id) {
    var x = document.getElementById(id);
    if (id == "a"){
        reset("b")
    }else{
        reset("a")
    }
    if (x.style.display === "none") {
    x.style.display = "block";
    } else {

wesslen

# Prodigy v1.11.x; some imports will change for v1.12+
import copy
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple, Union

import srsly
from spacy.language import Language
from spacy.tokens import Doc, Span, Token
from spacy.util import filter_spans

wesslen

import json
from typing import List
import srsly
import typer

app = typer.Typer()


def convert_to_coco(input_file: str, output_file: str):
    # Load the JSONL file using srsly

wesslen

{"text":"How Silicon Valley Pushed Coding Into American Classrooms","meta":{"source":"The New York Times","i":0}}
{"text":"Women in Tech Speak Frankly on Culture of Harassment","meta":{"source":"The New York Times","i":1}}
{"text":"Silicon Valley Investors Flexed Their Muscles in Uber Fight","meta":{"source":"The New York Times","i":2}}
{"text":"Uber is a Creature of an Industry Struggling to Grow Up","meta":{"source":"The New York Times","i":3}}
{"text":"\u2018The Internet Is Broken\u2019: @ev Is Trying to Salvage It","meta":{"source":"The New York Times","i":4}}
{"text":"The South Park Commons Fills a Hole in the Tech Landscape","meta":{"source":"The New York Times","i":5}}
{"text":"The Closing of the Republican Mind","meta":{"source":"The New York Times","i":6}}
{"text":"Writers From the Right and Left on Trump Jr., the Future of the F.B.I., Health Care and More","meta":{"source":"The New York Times","i":7}}
{"text":"Daily Report: From Lean to Fat Start-Ups","meta":{"source":"The New York Times","i":8}}
{"

wesslen

{"text":"Biomaterials and medical devices are broadly used in the diagnosis, treatment, repair, replacement or enhancing functions of human tissues or organs. Although the living conditions of human beings have been steadily improved in most parts of the world. ","label":"ID: 27047681","spans":[{ "start": 0, "end": 12, "label": "ORG" },{ "start": 0, "end": 12, "label": "ORG_2" }]}

wesslen

from typing import List, Optional
import spacy
import prodigy
from prodigy.components.loaders import JSONL
from prodigy.components.preprocess import add_tokens
from prodigy.models.matcher import PatternMatcher
from prodigy.util import split_string


# Helper function for removing token information from examples