How to use the medcat.utils.vocab.Vocab function in medcat

from flask import Flask
from medcat.cdb import CDB
from medcat.utils.spacy_pipe import SpacyPipe
from medcat.utils.vocab import Vocab
from medcat.cat import CAT
from flask import request
import os
import json
from spacy import displacy

vocab = Vocab()
cdb = CDB()
cdb.load_dict(os.getenv("CDB_MODEL", '/cat/models/med_ann_norm.dat'))
vocab.load_dict(path=os.getenv("VOCAB_MODEL", '/cat/models/med_ann_norm_dict.dat'))
cat = CAT(cdb, vocab=vocab)
cat.spacy_cat.train = False

app = Flask(__name__)

@app.route('/api_test', methods=['GET', 'POST'])
def api_test():
    if request.method == 'POST':
        return cat.get_json(request.form.get('text'))

    content = get_file('api_test.html')
    return content

from flask import Flask
from flask import Response
import json
from medcat.cdb import CDB
from medcat.utils.vocab import Vocab
from medcat.cat import CAT
from flask import request
import os


vocab = Vocab()
cdb = CDB()

cdb.load_dict(os.getenv("CDB_MODEL", '/cat/models/med_ann_norm.dat'))
vocab.load_dict(path=os.getenv("VOCAB_MODEL", '/cat/models/med_ann_norm_dict.dat'))
cat = CAT(cdb, vocab=vocab)

cat.spacy_cat.train = False

app = Flask(__name__)


app_name = 'MEDCAT'
app_lang = 'en'
app_version = os.getenv("CAT_VERSION", '0.1.0')

vocab_path = os.getenv('VOCAB_PATH', '/tmp/vocab.dat')
cdb_path = os.getenv('CDB_PATH', '/tmp/cdb.dat')
neg_path = os.getenv('NEG_PATH', '/tmp/mc_negated')

try:
    if not os.path.exists(vocab_path):
        vocab_url = os.getenv('VOCAB_URL')
        urlretrieve(vocab_url, vocab_path)

    if not os.path.exists(cdb_path):
        cdb_url = os.getenv('CDB_URL')
        print("*"*399)
        print(cdb_url)
        urlretrieve(cdb_url, cdb_path)

    vocab = Vocab()
    vocab.load_dict(vocab_path)
    cdb = CDB()
    cdb.load_dict(cdb_path)
    mc_negated = MetaCAT(save_dir=neg_path)
    mc_negated.load()
    cat = CAT(cdb=cdb, vocab=vocab, meta_cats=[mc_negated])
    cat.spacy_cat.MIN_ACC = 0.30
    cat.spacy_cat.MIN_ACC_TH = 0.30
    cat.spacy_cat.ACC_ALWAYS = True
except Exception as e:
    print(str(e))

def get_html_and_json(text):
    doc = cat(text)

    a = json.loads(cat.get_json(text))

def __init__(self, cdb, vocab=None, word_tokenizer=None):
        self.cdb = cdb

        self.w2v = None
        if vocab is not None:
            self.vocab = vocab
        else:
            self.vocab = Vocab()

        # Build the required spacy pipeline
        self.nlp = SpacyPipe(spacy_split_all, disable=['ner', 'parser', 'vectors', 'textcat'])

        # Get the tokenizer
        if word_tokenizer is not None:
            self.tokenizer = word_tokenizer
        else:
            self.tokenizer = self._tok

use_groups = False
    if groups is not None:
        use_groups = True

    f1s = {}
    ps = {}
    rs = {}
    tps = {}
    fns = {}
    fps = {}
    cui_counts = {}
    examples = {}
    for i in range(cv):
        cdb = CDB()
        cdb.load_dict(cdb_path)
        vocab = Vocab()
        vocab.load_dict(path=vocab_path)
        cat = CAT(cdb, vocab=vocab)
        cat.train = False
        cat.spacy_cat.MIN_ACC = 0.30
        cat.spacy_cat.MIN_ACC_TH = 0.30

        # Add groups if they exist
        if groups is not None:
            for cui in cdb.cui2info.keys():
                if "group" in cdb.cui2info[cui]:
                    del cdb.cui2info[cui]['group']
            groups = json.load(open("./groups.json"))
            for k,v in groups.items():
                for val in v:
                    cat.add_cui_to_group(val, k)