feat: tool scripts for server.json and voices.json

1 files changed, 6 insertions, 6 deletions

diff --git a/converter/tts.py b/converter/tts.py
index 741d9d3..a1c0b09 100644
--- a/converter/tts.py
+++ b/converter/tts.py
@@ -28,7 +28,7 @@ from typing import Any, Dict, List, Optional, Tuple
 
 from . import config
 from .audio import concat_audio_files, probe_duration_ms
-from .chunking import MAX_REQUEST_WORDS, split_into_chunks
+from .chunking import split_into_chunks
 
 logger = logging.getLogger(__name__)
 
@@ -440,14 +440,14 @@ class QwenTTSClient(_BaseTTSClient):
         """Generate one audio chunk; returns its path in the chunks folder.
 
         The text is split into sub-requests of at most
-        ``MAX_REQUEST_WORDS`` words each (the book-level chunker
+        ``config.CHUNK_SIZE`` words each (the book-level chunker
         normally guarantees this already; the split is defense in depth
         against pathological input such as a punctuation-free run of
         text), and the audio files returned for the sub-requests are
         concatenated into one chunk file.
         """
         try:
-            sub_texts = split_into_chunks(text, max_words=MAX_REQUEST_WORDS)
+            sub_texts = split_into_chunks(text, max_words=config.CHUNK_SIZE)
             if not sub_texts:
                 raise RuntimeError("No text to synthesize")
 
@@ -673,7 +673,7 @@ class FasterTTSClient(_BaseTTSClient):
     def generate_chunk(self, text: str, chunk_num: int) -> Optional[str]:
         """Generate one audio chunk; returns its path in the chunks folder."""
         try:
-            sub_chunks = split_into_chunks(text, max_words=MAX_REQUEST_WORDS)
+            sub_chunks = split_into_chunks(text, max_words=config.CHUNK_SIZE)
             if not sub_chunks:
                 raise RuntimeError("No text to synthesize")
 
@@ -914,13 +914,13 @@ class AudioCppTTSClient(_BaseTTSClient):
         """Generate one audio chunk; returns its path in the chunks folder.
 
         The text is split into sub-requests of at most
-        ``MAX_REQUEST_WORDS`` words each (defense in depth against
+        ``config.CHUNK_SIZE`` words each (defense in depth against
         pathological input, matching the Gradio client), each sub-request
         returns a complete WAV file, and the parts are concatenated into
         one chunk file.
         """
         try:
-            sub_texts = split_into_chunks(text, max_words=MAX_REQUEST_WORDS)
+            sub_texts = split_into_chunks(text, max_words=config.CHUNK_SIZE)
             if not sub_texts:
                 raise RuntimeError("No text to synthesize")