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https://github.com/remsky/Kokoro-FastAPI.git
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112 lines
3.4 KiB
Python
112 lines
3.4 KiB
Python
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import re
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def split_num(num: re.Match) -> str:
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"""Handle number splitting for various formats"""
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num = num.group()
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if "." in num:
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return num
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elif ":" in num:
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h, m = [int(n) for n in num.split(":")]
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if m == 0:
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return f"{h} o'clock"
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elif m < 10:
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return f"{h} oh {m}"
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return f"{h} {m}"
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year = int(num[:4])
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if year < 1100 or year % 1000 < 10:
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return num
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left, right = num[:2], int(num[2:4])
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s = "s" if num.endswith("s") else ""
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if 100 <= year % 1000 <= 999:
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if right == 0:
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return f"{left} hundred{s}"
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elif right < 10:
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return f"{left} oh {right}{s}"
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return f"{left} {right}{s}"
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def handle_money(m: re.Match) -> str:
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"""Convert money expressions to spoken form"""
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m = m.group()
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bill = "dollar" if m[0] == "$" else "pound"
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if m[-1].isalpha():
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return f"{m[1:]} {bill}s"
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elif "." not in m:
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s = "" if m[1:] == "1" else "s"
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return f"{m[1:]} {bill}{s}"
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b, c = m[1:].split(".")
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s = "" if b == "1" else "s"
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c = int(c.ljust(2, "0"))
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coins = (
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f"cent{'' if c == 1 else 's'}"
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if m[0] == "$"
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else ("penny" if c == 1 else "pence")
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)
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return f"{b} {bill}{s} and {c} {coins}"
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def handle_decimal(num: re.Match) -> str:
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"""Convert decimal numbers to spoken form"""
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a, b = num.group().split(".")
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return " point ".join([a, " ".join(b)])
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def normalize_text(text: str) -> str:
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"""Normalize text for TTS processing
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Args:
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text: Input text to normalize
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Returns:
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Normalized text
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"""
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# Replace quotes and brackets
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text = text.replace(chr(8216), "'").replace(chr(8217), "'")
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text = text.replace("«", chr(8220)).replace("»", chr(8221))
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text = text.replace(chr(8220), '"').replace(chr(8221), '"')
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text = text.replace("(", "«").replace(")", "»")
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# Handle CJK punctuation
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for a, b in zip("、。!,:;?", ",.!,:;?"):
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text = text.replace(a, b + " ")
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# Clean up whitespace
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text = re.sub(r"[^\S \n]", " ", text)
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text = re.sub(r" +", " ", text)
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text = re.sub(r"(?<=\n) +(?=\n)", "", text)
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# Handle titles and abbreviations
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text = re.sub(r"\bD[Rr]\.(?= [A-Z])", "Doctor", text)
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text = re.sub(r"\b(?:Mr\.|MR\.(?= [A-Z]))", "Mister", text)
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text = re.sub(r"\b(?:Ms\.|MS\.(?= [A-Z]))", "Miss", text)
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text = re.sub(r"\b(?:Mrs\.|MRS\.(?= [A-Z]))", "Mrs", text)
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text = re.sub(r"\betc\.(?! [A-Z])", "etc", text)
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# Handle common words
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text = re.sub(r"(?i)\b(y)eah?\b", r"\1e'a", text)
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# Handle numbers and money
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text = re.sub(
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r"\d*\.\d+|\b\d{4}s?\b|(?<!:)\b(?:[1-9]|1[0-2]):[0-5]\d\b(?!:)",
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split_num,
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text
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)
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text = re.sub(r"(?<=\d),(?=\d)", "", text)
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text = re.sub(
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r"(?i)[$£]\d+(?:\.\d+)?(?: hundred| thousand| (?:[bm]|tr)illion)*\b|[$£]\d+\.\d\d?\b",
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handle_money,
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text,
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)
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text = re.sub(r"\d*\.\d+", handle_decimal, text)
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# Handle various formatting
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text = re.sub(r"(?<=\d)-(?=\d)", " to ", text)
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text = re.sub(r"(?<=\d)S", " S", text)
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text = re.sub(r"(?<=[BCDFGHJ-NP-TV-Z])'?s\b", "'S", text)
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text = re.sub(r"(?<=X')S\b", "s", text)
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text = re.sub(
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r"(?:[A-Za-z]\.){2,} [a-z]",
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lambda m: m.group().replace(".", "-"),
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text
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)
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text = re.sub(r"(?i)(?<=[A-Z])\.(?=[A-Z])", "-", text)
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return text.strip()
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