MCP Server Whisper

"""Text processing utilities.""" def split_text_for_tts(text: str, max_length: int = 4000) -> list[str]: """Split text into chunks that don't exceed the TTS API limit. The function splits text at sentence boundaries (periods, question marks, exclamation points) to create natural-sounding chunks. If a sentence is too long, it falls back to splitting at commas, then spaces. Args: ---- text: The text to split. max_length: Maximum character length for each chunk (default 4000 to provide buffer). Returns: ------- List of text chunks, each below the maximum length. """ # If text is already under the limit, return it as a single chunk if len(text) <= max_length: return [text] chunks = [] remaining_text = text # Define boundary markers in order of preference sentence_boundaries = [". ", "? ", "! ", ".\n", "?\n", "!\n"] secondary_boundaries = [", ", ";\n", ";\n", ":\n", "\n", " "] while len(remaining_text) > max_length: # Try to find the best split point starting from max_length and working backward split_index = -1 # First try sentence boundaries (most preferred) for boundary in sentence_boundaries: last_boundary = remaining_text[:max_length].rfind(boundary) if last_boundary != -1: split_index = last_boundary + len(boundary) break # If no sentence boundary found, try secondary boundaries if split_index == -1: for boundary in secondary_boundaries: last_boundary = remaining_text[:max_length].rfind(boundary) if last_boundary != -1: split_index = last_boundary + len(boundary) break # If still no boundary found, just cut at max_length (least preferred) if split_index == -1 or split_index == 0: split_index = max_length # Add the chunk and update remaining text chunks.append(remaining_text[:split_index]) remaining_text = remaining_text[split_index:] # Add any remaining text as the final chunk if remaining_text: chunks.append(remaining_text) return chunks