sentiment / encoder_file.py
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import json
from functools import lru_cache
import regex as re
import os
from datetime import datetime
from email.utils import formatdate, parsedate_to_datetime
import requests
from appdirs import user_cache_dir
def download(url, destination_file):
headers = {}
path = user_cache_dir("promptify")
if not os.path.isdir(path):
os.makedirs(path)
destination_file = os.path.join(path, destination_file)
if os.path.exists(destination_file):
mtime = os.path.getmtime(destination_file)
headers["if-modified-since"] = formatdate(mtime, usegmt=True)
response = requests.get(url, headers=headers, stream=True)
response.raise_for_status()
if response.status_code == requests.codes.not_modified:
return
if response.status_code == requests.codes.ok:
with open(destination_file, "wb") as f:
for chunk in response.iter_content(chunk_size=1048576):
f.write(chunk)
if last_modified := response.headers.get("last-modified"):
new_mtime = parsedate_to_datetime(last_modified).timestamp()
os.utime(destination_file, times=(datetime.now().timestamp(), new_mtime))
return destination_file
bpe_file = {"filename": "vocab.bpe", "link": "https://github.com/syonfox/GPT-3-Encoder/raw/master/vocab.bpe"}
encoder_file = {"filename": "encoder.json", "link": "https://github.com/syonfox/GPT-3-Encoder/raw/master/encoder.json"}
@lru_cache()
def bytes_to_unicode():
bs = (
list(range(ord("!"), ord("~") + 1)) + list(range(ord("¡"), ord("¬") + 1)) + list(range(ord("®"), ord("ÿ") + 1))
)
cs = bs[:]
n = 0
for b in range(2**8):
if b not in bs:
bs.append(b)
cs.append(2**8 + n)
n += 1
cs = [chr(n) for n in cs]
return dict(zip(bs, cs))
def get_pairs(word):
pairs = set()
prev_char = word[0]
for char in word[1:]:
pairs.add((prev_char, char))
prev_char = char
return pairs
class Encoder:
def __init__(self, encoder, bpe_merges, errors="replace"):
self.encoder = encoder
self.decoder = {v: k for k, v in self.encoder.items()}
self.errors = errors
self.byte_encoder = bytes_to_unicode()
self.byte_decoder = {v: k for k, v in self.byte_encoder.items()}
self.bpe_ranks = dict(zip(bpe_merges, range(len(bpe_merges))))
self.cache = {}
self.pat = re.compile(r"""'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+""")
def bpe(self, token):
if token in self.cache:
return self.cache[token]
word = tuple(token)
pairs = get_pairs(word)
if not pairs:
return token
while True:
bigram = min(pairs, key=lambda pair: self.bpe_ranks.get(pair, float("inf")))
if bigram not in self.bpe_ranks:
break
first, second = bigram
new_word = []
i = 0
while i < len(word):
try:
j = word.index(first, i)
new_word.extend(word[i:j])
i = j
except:
new_word.extend(word[i:])
break
if word[i] == first and i < len(word) - 1 and word[i + 1] == second:
new_word.append(first + second)
i += 2
else:
new_word.append(word[i])
i += 1
new_word = tuple(new_word)
word = new_word
if len(word) == 1:
break
else:
pairs = get_pairs(word)
word = " ".join(word)
self.cache[token] = word
return word
def encode(self, text):
bpe_tokens = []
for token in re.findall(self.pat, text):
token = "".join(self.byte_encoder[b] for b in token.encode("utf-8"))
bpe_tokens.extend(self.encoder[bpe_token] for bpe_token in self.bpe(token).split(" "))
return bpe_tokens
def decode(self, tokens):
text = "".join([self.decoder[token] for token in tokens])
text = bytearray([self.byte_decoder[c] for c in text]).decode("utf-8", errors=self.errors)
return text
def get_encoder():
encoder_filename = download(encoder_file["link"], encoder_file["filename"])
bpe_filename = download(bpe_file["link"], bpe_file["filename"])
with open(encoder_filename, "r") as f:
encoder = json.load(f)
with open(bpe_filename, "r", encoding="utf-8") as f:
bpe_data = f.read()
bpe_merges = [tuple(merge_str.split()) for merge_str in bpe_data.split("\n")[1:-1]]
return Encoder(encoder=encoder, bpe_merges=bpe_merges)