Cleans text by stripping markdown, emojis, and special characters to ensure smooth text-to-speech synthesis from LLM outputs.
# Source: https://github.com/waynecc-at/robot-bridge | License: MIT | Copyright 2024 Robot Bridge Contributors
# Provided via justclaw.it.com; keep this notice with the code.
"""Text sanitization for TTS — strip markdown, emoji, and special characters."""
import re
# Unicode ranges for emojis and symbols
_EMOJI_PATTERN = re.compile(
"["
"\U0001F600-\U0010FFFF" # Emoticons, symbols, supplemental
"☀-➿" # Misc symbols, dingbats
"⌀-⏿" # Misc technical (including ⏰ etc.)
"─-╿" # Box drawing
"⬀-⯿" # Misc symbols and arrows
"✀-➿" # Dingbats
"︀-️" # Variation selectors
"" # Zero-width joiner
"]"
)
# Markdown patterns to strip
_MARKDOWN_PATTERNS = [
re.compile(r"```[\s\S]*?
... (truncated -- full source via MCP)
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