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voice_caption.py
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749 lines (637 loc) · 24.4 KB
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#!/usr/bin/python
# -*- coding: UTF-8 -*-
# @author:anning
# @email:anningforchina@gmail.com
# @time:2024/04/09 14:44
# @file:voice_caption.py
# 将图片和文字,字幕 一次性合成
import asyncio
import json
import os.path
import random
import re
import subprocess
from datetime import datetime
from typing import List
from xml.sax.saxutils import unescape
import aiofiles
import edge_tts
from edge_tts.submaker import formatter
from char2voice import create_voice_srt_new2
from load_config import get_yaml_config, check_file_exists, print_tip
config = get_yaml_config()
limit = config["audio"]["limit"]
role = config["audio"]["role"]
rate = config["audio"]["rate"]
volume = config["audio"]["volume"]
bgm = config["audio"]["bgm"]
main_db = config["audio"]["main_db"]
bgm_db = config["audio"]["bgm_db"]
once = config["video"]["once"]
memory = config["book"]["memory"]
language = config["book"]["language"]
async def spilt_str2(s, t, k=limit):
"""
:param s: 切片文本
:param t: 切分前时间
:param k: 切分最大字数
:return: 新的切片信息
@ samples
s = "并且觉醒天赋 得到力量 对抗凶兽 觉醒天赋 便是人人在十八岁时能以血脉沟通沟通 觉醒天赋"
t = "00:00:35,184 --> 00:00:42,384"
k = 15
"""
async def time2second(ti):
"""
:param ti: 输入时间, 格式示例:00:02:56,512
:return: float
"""
a, b, _c = ti.split(":")
c, d = _c.split(",")
a, b, c, d = int(a), int(b), int(c), int(d)
second = a * 3600 + b * 60 + c + d / 1000
return second
async def second2time(si):
hours = int(si // 3600)
minutes = int((si % 3600) // 60)
seconds = int(si % 60)
milliseconds = round((si % 1) * 1000)
v = "00"
u = "000"
a = v[: 2 - len(str(hours))] + str(hours)
b = v[: 2 - len(str(minutes))] + str(minutes)
c = v[: 2 - len(str(seconds))] + str(seconds)
d = u[: 3 - len(str(milliseconds))] + str(milliseconds)
return f"{a}:{b}:{c},{d}"
ss = s.split(" ")
ss_valid = []
# todo 将所有片段设置成不超过15
for _ss in ss:
if len(_ss) > k:
# 暴力截断几段
e = len(_ss) // k + 1
n_e = len(_ss) // e + 1
for _i in range(e):
if _i == e - 1:
ss_valid.append(_ss[n_e * _i :])
else:
ss_valid.append(_ss[n_e * _i : n_e * (_i + 1)])
else:
ss_valid.append(_ss)
# todo 片段合并
tmp = ""
new_ss = []
for i in range(len(ss_valid)):
tmp += ss_valid[i]
if i < len(ss_valid) - 1:
if len(tmp + ss_valid[i + 1]) > k:
new_ss.append(tmp)
tmp = ""
else:
continue
else:
new_ss.append(tmp)
tmp = ""
# 分配时间戳
t1, t2 = t.split("-->")
ft1 = await time2second(t1)
ft2 = await time2second(t2)
ftd = ft2 - ft1
# 转换成秒数
all_str = " ".join(new_ss)
tt_s = 0
line_srt = []
for z in new_ss:
tt_e = len(z) + tt_s
# 文章最后一句异常处理
if len(all_str) * ftd == 0:
continue
t_start = tt_s / len(all_str) * ftd
t_end = tt_e / len(all_str) * ftd
t_start = round(t_start, 3)
t_end = round(t_end, 3)
rec_s = await second2time(ft1 + t_start)
rec_e = await second2time(ft1 + t_end)
cc = (f"{rec_s} --> {rec_e}", z)
line_srt.append(cc)
tt_s = tt_e + 1
return line_srt
async def time_difference(time1, time2, time_format=r"%H:%M:%S,%f"):
time1 = datetime.strptime(time1, time_format)
time2 = datetime.strptime(time2, time_format)
# 计算时间差
delta = time2 - time1
time_diff = str(delta).replace(".", ",")[:11]
return time_diff
async def load_srt_new(filename, flag=True):
time_format = r"(\d{2}:\d{2}:\d{2}),\d{3} --> (\d{2}:\d{2}:\d{2}),\d{3}"
n = 0 # srt 文件总行数
index = 0 # strs 文字串移动下标
line_tmp = "" # 每个时间区间后的字数累计
count_tmp = 0 # 每个时间区间后的字数行计数
new_srt = []
async with aiofiles.open(filename, mode="r", encoding="utf-8") as f3:
f_lines = await f3.readlines()
for line in f_lines:
line = line.strip("\n")
n += 1
# 写入新的数据
# 1)当出现在文本末写入一次
if n == len(f_lines):
new_srt_line = await spilt_str2(line_tmp, t_line_cur)
new_srt.append(new_srt_line)
# 2)当新的一行是数字时,srt语句段写入
# case1: 判断新的一行是不是数字
if line.isdigit():
if flag:
print(line)
if n > 1:
new_srt_line = await spilt_str2(line_tmp, t_line_cur)
new_srt.append(new_srt_line)
continue
# case2: 判断新的一行是不是时间段
if re.match(time_format, line):
t_line_cur = line
# reset line_tmp
line_tmp = ""
count_tmp = 0
continue
# case3: 判断新的一行是空格时
if len(line) == 0:
continue
# case4: 新的一行不属于上面其中之一
line_std = line.replace(" ", "")
if flag:
print(f"{line}\n{line_std}")
if count_tmp:
line_tmp += " " + line_std
else:
line_tmp += line_std
count_tmp += 1
srt = []
for _line in new_srt:
for _l in _line:
srt.append(_l)
return srt
async def save_srt(filename, srt_list):
async with aiofiles.open(filename, mode="w", encoding="utf-8") as f:
for _li, _l in enumerate(srt_list):
if _li == len(srt_list) - 1:
info = "{}\n{}\n{}".format(_li + 1, _l[0], _l[1])
else:
info = "{}\n{}\n{}\n\n".format(_li + 1, _l[0], _l[1])
await f.write(info)
async def srt_regen_new(f_srt, f_save, flag):
srt_list = await load_srt_new(f_srt, flag)
await save_srt(f_save, srt_list)
class CustomSubMaker(edge_tts.SubMaker):
"""重写此方法更好的支持中文"""
async def generate_cn_subs(self, text):
PUNCTUATION = [",", "。", "!", "?", ";", ":", "”", ",", "!", "…", "+", "-"]
def clause(self):
start = 0
i = 0
text_list = []
while i < len(text):
if text[i] in PUNCTUATION:
try:
while text[i] in PUNCTUATION:
i += 1
except IndexError:
pass
text_list.append(text[start:i])
start = i
i += 1
return text_list
self.text_list = clause(self)
if len(self.subs) != len(self.offset):
raise ValueError("subs and offset are not of the same length")
data = "WEBVTT\r\n\r\n"
j = 0
for text in self.text_list:
text = await self.remove_non_chinese_chars(text)
try:
start_time = self.offset[j][0]
except IndexError:
return data
try:
while self.subs[j + 1] in text:
j += 1
except IndexError:
pass
data += edge_tts.submaker.formatter(start_time, self.offset[j][1], text)
j += 1
return data
async def generate_subs_based_on_punc(self, text) -> str:
PUNCTUATION = [',', '。', '!', '?', ';',
':', '\n', '“', '”', ',', '!', '\\. ']
def clause(self) -> list[str]:
pattern = '(' + '|'.join(punc for punc in PUNCTUATION) + ')'
text_list = re.split(pattern, text)
index = 0
pattern = '^[' + ''.join(p for p in PUNCTUATION) + ']+$'
while (index < len(text_list) - 1):
if not text_list[index + 1]:
text_list.pop(index + 1)
continue
if re.match(pattern, text_list[index + 1]):
if (text_list[index + 1] == '\n'):
text_list.pop(index + 1)
continue
text_list[index] += text_list.pop(index + 1)
else:
index += 1
return text_list
self.text_list = clause(self)
if len(self.subs) != len(self.offset):
raise ValueError("subs and offset are not of the same length")
data = "WEBVTT\r\n\r\n"
j = 0
for text in self.text_list:
try:
start_time = self.offset[j][0]
except IndexError:
return data
try:
while (self.subs[j + 1] in text):
j += 1
except IndexError:
pass
data += edge_tts.submaker.formatter(start_time, self.offset[j][1], text)
j += 1
return data
async def remove_non_chinese_chars(self, text):
# 使用正则表达式匹配非中文字符和非数字
# pattern = re.compile(r"[^\u4e00-\u9fff0-9]+")
pattern = re.compile(r"[^\u4e00-\u9fffA-Za-z0-9]+")
# 使用空字符串替换匹配到的非中文字符和非数字
cleaned_text = re.sub(pattern, "", text)
return cleaned_text
def generate_subs_pro(self, content_list) -> str:
if len(self.subs) != len(self.offset):
raise ValueError("subs and offset are not of the same length")
data = ""
sub_state_count = 0
sub_state_start = -1.0
sub_state_subs = ""
index = 0
content = content_list[index]
for idx, (offset, subs) in enumerate(zip(self.offset, self.subs)):
start_time, end_time = offset
subs = unescape(subs)
if len(sub_state_subs) > 0:
sub_state_subs += " "
sub_state_subs += subs
if sub_state_start == -1.0:
sub_state_start = start_time
sub_state_count += 1
if idx == len(self.offset) - 1 or self.subs[idx + 1] not in content:
subs = sub_state_subs
split_subs: List[str] = [
subs[i: i + 100] for i in range(0, len(subs), 100)
]
for i in range(len(split_subs) - 1):
sub = split_subs[i]
split_at_word = True
if sub[-1] == " ":
split_subs[i] = sub[:-1]
split_at_word = False
if sub[0] == " ":
split_subs[i] = sub[1:]
split_at_word = False
if split_at_word:
split_subs[i] += "-"
data += formatter(
start_time=sub_state_start,
end_time=end_time,
subdata="\r\n".join(split_subs),
)
sub_state_count = 0
sub_state_start = -1
sub_state_subs = ""
if index < len(content_list) - 1:
index += 1
content = content_list[index]
else:
content = re.sub(subs, '', content, count=1)
return data
async def edge_gen_srt2(f_txt, f_mp3, f_vtt, f_srt, p_voice, p_rate, p_volume, participle_path) -> None:
content = f_txt
communicate = edge_tts.Communicate(
text=content, voice=p_voice, rate=p_rate, volume=p_volume
)
sub_maker = CustomSubMaker()
async with aiofiles.open(f_mp3, "wb") as file:
async for chunk in communicate.stream():
if chunk["type"] == "audio":
await file.write(chunk["data"])
elif chunk["type"] == "WordBoundary":
sub_maker.create_sub(
(chunk["offset"], chunk["duration"]), chunk["text"]
)
if language == "zh":
async with aiofiles.open(f_vtt, "w", encoding="utf-8") as file:
content_to_write = await sub_maker.generate_subs_based_on_punc(content)
# content_to_write = sub_maker.generate_subs()
await file.write(content_to_write)
# vtt -》 srt
idx = 1 # 字幕序号
with open(f_srt, "w", encoding="utf-8") as f_out:
for line in open(f_vtt, encoding="utf-8"):
if "-->" in line:
f_out.write("%d\n" % idx)
idx += 1
line = line.replace(".", ",") # 这行不是必须的,srt也能识别'.'
if idx > 1: # 跳过header部分
f_out.write(line)
else:
# 定义一个空列表来存储文件的每一行
lines = []
# 打开文件并读取每一行
with open(participle_path, 'r', encoding='utf-8') as file:
for line in file:
# 去除每行末尾的换行符,并添加到列表中
lines.append(line.strip())
# 使用列表推导式去除空行
lines = [line for line in lines if line and not line.isdigit()]
with open(f_srt, "w", encoding="utf-8") as f_out:
f_out.write(sub_maker.generate_subs_pro(lines))
# 合并文件夹下所有MP3文件为一个音频文件
async def merge_bgm(bgm_folder):
mp3_files = [
os.path.join(bgm_folder, mp3_file)
for mp3_file in os.listdir(bgm_folder)
if mp3_file.endswith(".mp3")
]
random.shuffle(mp3_files) # 随机化列表中元素的顺序
with open("bgm_list.txt", "w", encoding="utf-8") as filelist:
for mp3_file in mp3_files:
filelist.write(f"file '{mp3_file}'\n")
subprocess.run(
[
"ffmpeg",
"-y",
"-f",
"concat",
"-safe",
"0",
"-i",
"bgm_list.txt",
"-c",
"copy",
"merged_bgm.mp3",
],
check=True,
)
os.remove("bgm_list.txt")
# 获取媒体文件长度
async def get_media_length(file_path):
result = subprocess.run(
[
"ffprobe",
"-v",
"error",
"-show_entries",
"format=duration",
"-of",
"default=noprint_wrappers=1:nokey=1",
file_path,
],
stdout=subprocess.PIPE,
text=True,
)
return float(result.stdout)
# 获取音频文件的详细信息(比特率、采样率、声道数)
async def get_audio_details(file_path):
cmd = [
"ffprobe",
"-v",
"error",
"-select_streams",
"a:0",
"-show_entries",
"stream=bit_rate,sample_rate,channels",
"-of",
"json",
file_path,
]
result = subprocess.run(cmd, capture_output=True, text=True)
metadata = json.loads(result.stdout)
details = {
"bit_rate": int(metadata["streams"][0]["bit_rate"]),
"sample_rate": int(metadata["streams"][0]["sample_rate"]),
"channels": int(metadata["streams"][0]["channels"]),
}
return details
# 循环BGM以匹配主音轨长度,然后与主音轨混合
async def mix_main_and_bgm(main_audio, bgm_file, save_dir):
await merge_bgm("bgm")
main_length = await get_media_length(main_audio)
bgm_length = await get_media_length(bgm_file)
main_volume = f"{main_db}dB"
bgm_volume = f"{bgm_db}dB"
# 计算BGM需要循环的次数
loop_count = int(main_length // bgm_length) + 1 if bgm_length < main_length else 1
# 如果需要,循环BGM
if loop_count > 1:
with open("looped_bgm_list.txt", "w", encoding="utf-8") as loop_file:
for _ in range(loop_count):
loop_file.write(f"file '{bgm_file}'\n")
subprocess.run(
[
"ffmpeg",
"-y",
"-f",
"concat",
"-safe",
"0",
"-i",
"looped_bgm_list.txt",
"-c",
"copy",
"looped_bgm.mp3",
],
check=True,
)
looped_bgm = "looped_bgm.mp3"
os.remove("looped_bgm_list.txt")
else:
looped_bgm = bgm_file
audio_details = await get_audio_details(main_audio)
# 采样率、声道和比特率
sample_rate = str(audio_details["sample_rate"])
channels = str(audio_details["channels"])
bitrate = str(audio_details["bit_rate"])
# 转换循环后的BGM为单声道,采样率调整为24kHz
converted_bgm = os.path.join(save_dir, "bgm_converted.mp3")
subprocess.run(
["ffmpeg", "-y", "-i", looped_bgm, "-ac", str(channels), "-ar", str(sample_rate), converted_bgm],
check=True
)
output_file = os.path.join(save_dir, "out.mp3")
# 混合主音轨和已转换的BGM
# subprocess.run([
# 'ffmpeg', '-i', main_audio, '-i', 'bgm_converted.mp3',
# '-filter_complex',
# f"[0:a]aformat=sample_rates=24000:channel_layouts=mono,volume={main_volume}[a0];[1:a]aformat=sample_rates=24000:channel_layouts=mono,volume={bgm_volume}[a1];[a0][a1]amix=inputs=2:duration=first[aout]",
# '-map', '[aout]', '-ac', '1', '-ar', '24000', '-y', output_file
# ], check=True)
subprocess.run(
[
"ffmpeg",
"-y",
"-i",
main_audio,
"-i",
converted_bgm,
"-filter_complex",
f"[0:a]aformat=sample_rates={sample_rate}:channel_layouts=stereo,volume={main_volume}[a0];[1:a]aformat=sample_rates={sample_rate}:channel_layouts=stereo,volume={bgm_volume}[a1];[a0][a1]amix=inputs=2:duration=first[aout]",
"-map",
"[aout]",
"-ac",
channels,
"-ar",
sample_rate,
"-b:a",
bitrate,
output_file,
],
check=True,
)
# 清理临时文件
os.remove("merged_bgm.mp3")
os.remove(converted_bgm)
if loop_count > 1:
os.remove("looped_bgm.mp3")
os.replace(output_file, main_audio)
async def srt_to_list(filename):
subtitles = [] # 存储最终结果的列表
text = [] # 临时存储当前字幕块的文本行
timecode = None # 初始化时间码变量
with open(filename, "r", encoding="utf-8") as file:
for line in file:
line = line.strip() # 移除行首尾的空白字符
if line.isdigit(): # 跳过字幕编号行
continue
if "-->" in line: # 检测时间码行
if text: # 如果前一个字幕块的文本已经读取,存储前一个字幕块
subtitles.append((timecode, " ".join(text)))
text = [] # 重置文本列表为下一个字幕块做准备
timecode = line # 更新时间码
elif line: # 非空行即为字幕文本行
text.append(line)
# 添加文件末尾的最后一个字幕块(如果有)
if text:
subtitles.append((timecode, " ".join(text)))
return subtitles
async def picture_processing_time(filename, section_path, save_dir, name):
subtitles = await srt_to_list(filename)
if language == "zh":
with open(section_path, "r", encoding="utf-8") as f:
section_list = f.readlines()
section_time_list = []
index_ = 0
time_ = "00:00:00,000"
for si, section in enumerate(section_list):
if len(section_list) == si + 1:
# 最后这段不处理 默认使用剩余所有time
next_start_time = subtitles[-1][0].split(" --> ")[1]
diff = await time_difference(time_, next_start_time)
section_time_list.append(diff)
break
content_ = await CustomSubMaker().remove_non_chinese_chars(section)
for i, v in enumerate(subtitles):
if i <= index_:
continue
v_text = await CustomSubMaker().remove_non_chinese_chars(v[1])
if v_text not in content_:
next_start_time = v[0].split(" --> ")[0]
diff = await time_difference(time_, next_start_time)
section_time_list.append(diff)
index_ = i
time_ = next_start_time
break
with open(os.path.join(save_dir, f"{name}time.txt"), "w", encoding="utf-8") as f3:
f3.write(str(section_time_list))
else:
time_list = []
init_time = "00:00:00.000"
for subtitle in subtitles:
duration = await time_difference(init_time, subtitle[0].split(" --> ")[1], time_format=r"%H:%M:%S.%f")
time_list.append(duration)
init_time = subtitle[0].split(" --> ")[1]
with open(os.path.join(save_dir, f"{name}time.txt"), "w", encoding="utf-8") as f3:
f3.write(str(time_list))
async def create_voice_srt_new3(
name, file_txt, save_dir, participle_path=None, p_voice=role, p_rate=rate, p_volume=volume
):
mp3_name = f"{name}.mp3"
vtt_name = f"{name}.vtt"
srt_name = f"{name}.tmp.srt"
srt_name_final = f"{name}.srt"
file_mp3 = os.path.join(save_dir, mp3_name)
file_vtt = os.path.join(save_dir, vtt_name)
file_srt = os.path.join(save_dir, srt_name)
file_srt_final = os.path.join(save_dir, srt_name_final)
mp3_exists = await check_file_exists(file_mp3)
srt_exists = await check_file_exists(file_srt_final)
time_exists = await check_file_exists(os.path.join(save_dir, f"{name}time.txt"))
if mp3_exists and srt_exists and time_exists:
return
await edge_gen_srt2(
file_txt, file_mp3, file_vtt, file_srt, p_voice, p_rate, p_volume, participle_path
)
if language == 'zh':
await srt_regen_new(file_srt, file_srt_final, False)
# 删除其他生成文件
os.remove(file_vtt)
os.remove(file_srt)
else:
os.replace(file_srt, file_srt_final)
await picture_processing_time(
file_srt_final, os.path.join(save_dir, f"{name}.txt"), save_dir, name
)
if bgm:
# 如果使用bgm
await mix_main_and_bgm(file_mp3, "merged_bgm.mp3", save_dir)
return file_mp3, file_srt_final
async def voice_srt(participle_path, path, name_path, name):
await print_tip("开始生成语音字幕")
if once:
with open(name_path, "r", encoding="utf-8") as f:
content = f.read()
max_attempts = 10 # 设置最大尝试次数
attempts = 0 # 初始化尝试次数计数器
while attempts < max_attempts:
try:
# 尝试执行可能出错的操作
await create_voice_srt_new3(name, content, path, participle_path)
break # 如果成功,则跳出循环
except Exception as e:
# 捕获到异常,打印错误信息,并决定是否重试
print(f"尝试生成语音字幕时出错: {e}")
attempts += 1 # 增加尝试次数
await asyncio.sleep(10) # 等待一段时间后重试,避免立即重试
if attempts == max_attempts:
raise Exception("尝试生成语音字幕失败次数过多,停止重试。")
else:
async with aiofiles.open(participle_path, "r", encoding="utf8") as file:
lines = await file.readlines()
# 循环输出每一行内容
index = 1
for line in lines:
if line:
mp3_exists = await check_file_exists(
os.path.join(path, f"{index}.mp3")
)
srt_exists = await check_file_exists(
os.path.join(path, f"{index}.srt")
)
if memory and mp3_exists and srt_exists:
await print_tip(f"使用缓存,读取第{index}段语音字幕")
else:
await create_voice_srt_new2(index, line, path)
index += 1
if __name__ == "__main__":
save_dir = './'
asyncio.run(mix_main_and_bgm("./20075.mp3", "merged_bgm.mp3", save_dir))