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Fix Pylint issues

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This commit is contained in:
Reuben Morais
2019-07-19 09:08:51 +02:00
parent 509292d56a
commit 11e7895329
35 changed files with 270 additions and 316 deletions
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server/server.py
+1 -1
View File
@@ -2,7 +2,7 @@
import argparse
from synthesizer import Synthesizer
from utils.generic_utils import load_config
from flask import Flask, Response, request, render_template, send_file
from flask import Flask, request, render_template, send_file
parser = argparse.ArgumentParser()
parser.add_argument(
server/synthesizer.py
+45 -48
View File
@@ -5,31 +5,23 @@ import numpy as np
import torch
import sys
import numpy as np
import torch
from models.tacotron import Tacotron
from utils.audio import AudioProcessor
from utils.generic_utils import load_config, setup_model
from utils.text import phoneme_to_sequence, phonemes, symbols, text_to_sequence, sequence_to_phoneme
import re
alphabets= "([A-Za-z])"
prefixes = "(Mr|St|Mrs|Ms|Dr)[.]"
suffixes = "(Inc|Ltd|Jr|Sr|Co)"
starters = "(Mr|Mrs|Ms|Dr|He\s|She\s|It\s|They\s|Their\s|Our\s|We\s|But\s|However\s|That\s|This\s|Wherever)"
acronyms = "([A-Z][.][A-Z][.](?:[A-Z][.])?)"
websites = "[.](com|net|org|io|gov)"
alphabets = r"([A-Za-z])"
prefixes = r"(Mr|St|Mrs|Ms|Dr)[.]"
suffixes = r"(Inc|Ltd|Jr|Sr|Co)"
starters = r"(Mr|Mrs|Ms|Dr|He\s|She\s|It\s|They\s|Their\s|Our\s|We\s|But\s|However\s|That\s|This\s|Wherever)"
acronyms = r"([A-Z][.][A-Z][.](?:[A-Z][.])?)"
websites = r"[.](com|net|org|io|gov)"
from models.tacotron import Tacotron
from utils.audio import AudioProcessor
from utils.generic_utils import load_config
from utils.text import phoneme_to_sequence, phonemes, symbols, text_to_sequence
class Synthesizer(object):
def __init__(self, config):
self.wavernn = None
self.config = config
self.config = config
self.use_cuda = config.use_cuda
if self.use_cuda:
assert torch.cuda.is_available(), "CUDA is not availabe on this machine."
@@ -52,7 +44,7 @@ class Synthesizer(object):
else:
self.input_size = len(symbols)
self.input_adapter = lambda sen: text_to_sequence(sen, [self.tts_config.text_cleaner])
self.tts_model = setup_model(self.input_size, self.tts_config)
self.tts_model = setup_model(self.input_size, c=self.tts_config) #FIXME: missing num_speakers argument to setup_model
# load model state
if use_cuda:
cp = torch.load(self.model_file)
@@ -75,18 +67,18 @@ class Synthesizer(object):
print(" | > model file: ", model_file)
self.wavernn_config = load_config(wavernn_config)
self.wavernn = Model(
rnn_dims=512,
fc_dims=512,
mode=self.wavernn_config.mode,
pad=2,
upsample_factors=self.wavernn_config.upsample_factors, # set this depending on dataset
feat_dims=80,
compute_dims=128,
res_out_dims=128,
res_blocks=10,
hop_length=self.ap.hop_length,
sample_rate=self.ap.sample_rate,
).cuda()
rnn_dims=512,
fc_dims=512,
mode=self.wavernn_config.mode,
pad=2,
upsample_factors=self.wavernn_config.upsample_factors, # set this depending on dataset
feat_dims=80,
compute_dims=128,
res_out_dims=128,
res_blocks=10,
hop_length=self.ap.hop_length,
sample_rate=self.ap.sample_rate,
).cuda()
check = torch.load(model_file)
self.wavernn.load_state_dict(check['model'])
@@ -101,25 +93,30 @@ class Synthesizer(object):
def split_into_sentences(self, text):
text = " " + text + " "
text = text.replace("\n"," ")
text = re.sub(prefixes,"\\1<prd>",text)
text = re.sub(websites,"<prd>\\1",text)
if "Ph.D" in text: text = text.replace("Ph.D.","Ph<prd>D<prd>")
text = re.sub("\s" + alphabets + "[.] "," \\1<prd> ",text)
text = re.sub(acronyms+" "+starters,"\\1<stop> \\2",text)
text = re.sub(alphabets + "[.]" + alphabets + "[.]" + alphabets + "[.]","\\1<prd>\\2<prd>\\3<prd>",text)
text = re.sub(alphabets + "[.]" + alphabets + "[.]","\\1<prd>\\2<prd>",text)
text = re.sub(" "+suffixes+"[.] "+starters," \\1<stop> \\2",text)
text = re.sub(" "+suffixes+"[.]"," \\1<prd>",text)
text = re.sub(" " + alphabets + "[.]"," \\1<prd>",text)
if "”" in text: text = text.replace(".”","”.")
if "\"" in text: text = text.replace(".\"","\".")
if "!" in text: text = text.replace("!\"","\"!")
if "?" in text: text = text.replace("?\"","\"?")
text = text.replace(".",".<stop>")
text = text.replace("?","?<stop>")
text = text.replace("!","!<stop>")
text = text.replace("<prd>",".")
text = text.replace("\n", " ")
text = re.sub(prefixes, "\\1<prd>", text)
text = re.sub(websites, "<prd>\\1", text)
if "Ph.D" in text:
text = text.replace("Ph.D.", "Ph<prd>D<prd>")
text = re.sub(r"\s" + alphabets + "[.] ", " \\1<prd> ", text)
text = re.sub(acronyms+" "+starters, "\\1<stop> \\2", text)
text = re.sub(alphabets + "[.]" + alphabets + "[.]" + alphabets + "[.]", "\\1<prd>\\2<prd>\\3<prd>", text)
text = re.sub(alphabets + "[.]" + alphabets + "[.]", "\\1<prd>\\2<prd>", text)
text = re.sub(" "+suffixes+"[.] "+starters, " \\1<stop> \\2", text)
text = re.sub(" "+suffixes+"[.]", " \\1<prd>", text)
text = re.sub(" " + alphabets + "[.]", " \\1<prd>", text)
if "”" in text:
text = text.replace(".”", "”.")
if "\"" in text:
text = text.replace(".\"", "\".")
if "!" in text:
text = text.replace("!\"", "\"!")
if "?" in text:
text = text.replace("?\"", "\"?")
text = text.replace(".", ".<stop>")
text = text.replace("?", "?<stop>")
text = text.replace("!", "!<stop>")
text = text.replace("<prd>", ".")
sentences = text.split("<stop>")
sentences = sentences[:-1]
sentences = [s.strip() for s in sentences]
@@ -128,7 +125,7 @@ class Synthesizer(object):
def tts(self, text):
wavs = []
sens = self.split_into_sentences(text)
if len(sens) == 0:
if not sens:
sens = [text+'.']
for sen in sens:
if len(sen) < 3: