sai-prasanna

import streamlit as st
import numpy as np
from lmproof.scorer import TransformerLMScorer
from lmproof.candidate_generators import (MatchedGenerator,
                                          EnglishInflectedGenerator,
                                          SpellCorrectGenerator)


@st.cache(ignore_hash=True)
def model():

sai-prasanna

from collections import namedtuple
from typing import Any, List, Iterator, Tuple

import torch
import copy



class FairseqHubInferer:
    """

sai-prasanna

pip install git+https://github.com/sai-prasanna/spacy-pattern-builder.git
pip install streamlit
python -m spacy download en # Or any other model you wish to use.
streamlit run streamlit_pattern_builder.py

sai-prasanna

import tensorflow as tf #We need tensorflow 2.x
import numpy as np

#The hashlength in bits
hashLength = 256

def buildModel():
    #we can set the seed to simulate the fact that this network is known and doesn't change between runs
    #tf.random.set_seed(42)
    model = tf.keras.Sequential()