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text_utils.py
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328 lines (293 loc) · 12.1 KB
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# text_utils.py
import re, unicodedata
def prepare_xtts_text(text: str) -> str:
"""Normalize quotes, Unicode, collapse spaces."""
text = text.replace('“', '"').replace('”', '"').replace('‘', "'").replace('’', "'")
text = unicodedata.normalize('NFKC', text)
return re.sub(r'\s+', ' ', text).strip()
def split_text_xtts(text: str, max_chars: int = 250) -> list[str]:
"""
Split text into chunks ≤ max_chars for XTTS.
• Prefers splits on sentence endings (. ! ?), then clauses (, ; : - —), then words.
• Merges tiny chunks (<30 chars) if possible.
• Never cuts words.
• Forces space after periods if missing.
"""
min_len = 30
print(f"\n[XTTS SPLIT] ORIGINAL TEXT ({len(text)} chars):")
print(f"{text}")
# --- 1. CLEAN TEXT ---
text = prepare_xtts_text(text)
text = re.sub(r'\.(?=[^\s])', '. ', text)
text = re.sub(r'\s+', ' ', text).strip()
print(f"\n[XTTS SPLIT] CLEANED TEXT ({len(text)} chars):")
print(f"{text}")
# ---------------------
if len(text) <= max_chars:
print(f"\n[XTTS SPLIT] SINGLE CHUNK (≤ {max_chars} chars) → returning 1 chunk")
return [text]
# --- 2. SPLIT INTO SENTENCES ---
sentences = re.split(r'(?<=[.!?])\s*', text)
sentences = [s.strip() for s in sentences if s.strip()]
print(f"\n[XTTS SPLIT] Split into {len(sentences)} sentence(s):")
for i, s in enumerate(sentences, 1):
print(f" [{i}] {len(s):3d} chars: {s}")
# -------------------------------
# --- 3. BUILD CHUNKS HIERARCHICALLY ---
chunks = []
current = ""
for sentence in sentences:
if len(sentence) > max_chars:
clauses = re.split(r'(?<=[,;:\-—])\s*', sentence)
clauses = [c.strip() for c in clauses if c.strip()]
for clause in clauses:
if len(clause) > max_chars:
words = clause.split()
sub = ""
for word in words:
test = (sub + " " + word).strip() if sub else word
if len(test) > max_chars:
if sub:
if current and len(current + " " + sub) <= max_chars:
current = (current + " " + sub).strip()
else:
if current:
chunks.append(current)
current = ""
chunks.append(sub)
sub = word
else:
sub = test
if sub:
if current and len(current + " " + sub) <= max_chars:
current = (current + " " + sub).strip()
else:
if current:
chunks.append(current)
current = ""
current = sub
else:
test = (current + " " + clause).strip() if current else clause
if len(test) > max_chars:
if current:
chunks.append(current)
current = ""
current = clause
else:
current = test
else:
test = (current + " " + sentence).strip() if current else sentence
if len(test) > max_chars:
if current:
chunks.append(current)
current = ""
current = sentence
else:
current = test
if current:
chunks.append(current)
print(f"\n[XTTS SPLIT] After building: {len(chunks)} chunk(s)")
i = 0
merges = 0
while i < len(chunks) - 1:
if len(chunks[i + 1]) < min_len:
test = (chunks[i] + " " + chunks[i + 1]).strip()
if len(test) <= max_chars:
chunks[i] = test
del chunks[i + 1]
merges += 1
continue
i += 1
if merges:
print(f"[XTTS SPLIT] Merged {merges} tiny chunk(s)")
print(f"\n[XTTS SPLIT] FINAL RESULT: {len(chunks)} chunk(s)")
total_chars = 0
for idx, chunk in enumerate(chunks, 1):
total_chars += len(chunk)
print(f"\n === CHUNK {idx} === ({len(chunk)} chars)")
print(f"{chunk}")
print(f" {'─' * 50}")
print(f"\n[XTTS SPLIT] TOTAL CHARACTERS IN ALL CHUNKS: {total_chars}")
return chunks
def split_text_fish(text: str, max_chars: int = 250) -> list[str]:
"""
Split text into chunks ≤ max_chars for Fish Speech.
• Prefers splits on sentence endings (. ! ?), then clauses (, ; : - —), then words.
• Merges tiny chunks (<30 chars) if possible.
• Never cuts words.
• Forces space after periods if missing.
"""
min_len = 30
print(f"\n[FISH SPLIT] ORIGINAL TEXT ({len(text)} chars):")
print(f"{text}")
text = text.replace('“', '"').replace('”', '"').replace('‘', "'").replace('’', "'")
text = unicodedata.normalize('NFKC', text)
text = re.sub(r'\.(?=[^\s])', '. ', text)
text = re.sub(r'\s+', ' ', text).strip()
print(f"\n[FISH SPLIT] CLEANED TEXT ({len(text)} chars):")
print(f"{text}")
if len(text) <= max_chars:
print(f"\n[FISH SPLIT] SINGLE CHUNK (≤ {max_chars} chars) → returning 1 chunk")
return [text]
sentences = re.split(r'(?<=[.!?])\s*', text)
sentences = [s.strip() for s in sentences if s.strip()]
print(f"\n[FISH SPLIT] Split into {len(sentences)} sentence(s):")
for i, s in enumerate(sentences, 1):
print(f" [{i}] {len(s):3d} chars: {s}")
chunks = []
current = ""
for sentence in sentences:
if len(sentence) > max_chars:
clauses = re.split(r'(?<=[,;:\-—])\s*', sentence)
clauses = [c.strip() for c in clauses if c.strip()]
for clause in clauses:
if len(clause) > max_chars:
words = clause.split()
sub = ""
for word in words:
test = (sub + " " + word).strip() if sub else word
if len(test) > max_chars:
if sub:
if current and len(current + " " + sub) <= max_chars:
current = (current + " " + sub).strip()
else:
if current:
chunks.append(current)
current = ""
chunks.append(sub)
sub = word
else:
sub = test
if sub:
if current and len(current + " " + sub) <= max_chars:
current = (current + " " + sub).strip()
else:
if current:
chunks.append(current)
current = ""
current = sub
else:
test = (current + " " + clause).strip() if current else clause
if len(test) > max_chars:
if current:
chunks.append(current)
current = ""
current = clause
else:
current = test
else:
test = (current + " " + sentence).strip() if current else sentence
if len(test) > max_chars:
if current:
chunks.append(current)
current = ""
current = sentence
else:
current = test
if current:
chunks.append(current)
print(f"\n[FISH SPLIT] After building: {len(chunks)} chunk(s)")
i = 0
merges = 0
while i < len(chunks) - 1:
if len(chunks[i + 1]) < min_len:
test = (chunks[i] + " " + chunks[i + 1]).strip()
if len(test) <= max_chars:
chunks[i] = test
del chunks[i + 1]
merges += 1
continue
i += 1
if merges:
print(f"[FISH SPLIT] Merged {merges} tiny chunk(s)")
print(f"\n[FISH SPLIT] FINAL RESULT: {len(chunks)} chunk(s)")
total_chars = 0
for idx, chunk in enumerate(chunks, 1):
total_chars += len(chunk)
print(f"\n === CHUNK {idx} === ({len(chunk)} chars)")
print(f"{chunk}")
print(f" {'─' * 50}")
print(f"\n[FISH SPLIT] TOTAL CHARACTERS IN ALL CHUNKS: {total_chars}")
return chunks
def split_text_kokoro(text: str, max_chars: int = 500) -> list[str]:
"""
Kokoro ≥500 chars safe → use the same aggressive hierarchical splitter
as XTTS/Fish for maximum efficiency.
"""
min_len = 40
text = text.replace('“', '"').replace('”', '"').replace('‘', "'").replace('’', "'")
text = unicodedata.normalize('NFKC', text)
text = re.sub(r'\.(?=[^\s])', '. ', text)
text = re.sub(r'\s+', ' ', text).strip()
if len(text) <= max_chars:
return [text]
sentences = re.split(r'(?<=[.!?])\s*', text)
sentences = [s.strip() for s in sentences if s.strip()]
chunks = []
current = ""
for sentence in sentences:
if len(sentence) > max_chars:
clauses = re.split(r'(?<=[,;:\-—])\s*', sentence)
clauses = [c.strip() for c in clauses if c.strip()]
for clause in clauses:
if len(clause) > max_chars:
words = clause.split()
sub = ""
for word in words:
test = (sub + " " + word).strip() if sub else word
if len(test) > max_chars:
if sub:
if current and len(current + " " + sub) <= max_chars:
current = (current + " " + sub).strip()
else:
if current:
chunks.append(current)
current = ""
chunks.append(sub)
sub = word
else:
sub = test
if sub:
if current and len(current + " " + sub) <= max_chars:
current = (current + " " + sub).strip()
else:
if current:
chunks.append(current)
current = ""
current = sub
else:
test = (current + " " + clause).strip() if current else clause
if len(test) > max_chars:
if current:
chunks.append(current)
current = ""
current = clause
else:
current = test
else:
# normal sentence
test = (current + " " + sentence).strip() if current else sentence
if len(test) > max_chars:
if current:
chunks.append(current)
current = ""
current = sentence
else:
current = test
if current:
chunks.append(current)
i = 0
while i < len(chunks) - 1:
if len(chunks[i + 1]) < min_len:
test = (chunks[i] + " " + chunks[i + 1]).strip()
if len(test) <= max_chars:
chunks[i] = test
del chunks[i + 1]
continue
i += 1
return chunks
def sanitize_for_whisper(text: str) -> str:
"""Lower-case, keep only a-z 0-9 and spaces."""
text = text.lower()
text = re.sub(r'[^a-z0-9\s]', ' ', text)
return re.sub(r'\s+', ' ', text).strip()