feat: reuse one seed per run for consistent voice across chunks

1 files changed, 14 insertions, 6 deletions

diff --git a/converter/chunking.py b/converter/chunking.py
index 425765f..1ce69a3 100644
--- a/converter/chunking.py
+++ b/converter/chunking.py
@@ -8,11 +8,19 @@ from . import config
 
 logger = logging.getLogger(__name__)
 
+# Hard ceiling on words per request, regardless of the configured chunk
+# size. Both TTS servers silently truncate audio when a single generation
+# exceeds its cap (~2.5 min for the faster backend's static KV cache,
+# ~11 min for the Gradio demo) without reporting any error, so larger
+# requests are always split client-side. Keep a margin below ~300 words
+# to survive slow narration on the faster backend.
+MAX_REQUEST_WORDS = 250
 
-def split_into_chunks(text: str, max_words: int = config.CHUNK_SIZE_WORDS) -> List[str]:
+
+def split_into_chunks(text: str, max_words: int = config.CHUNK_SIZE) -> List[str]:
     """Split text into chunks of at most ``max_words`` words.
 
-    ``max_words`` is clamped to ``config.MAX_REQUEST_WORDS``: requests
+    ``max_words`` is clamped to ``MAX_REQUEST_WORDS``: requests
     beyond that ceiling are silently truncated by the TTS servers (no
     error is reported), so chunks larger than the ceiling are never
     produced regardless of configuration.
@@ -25,13 +33,13 @@ def split_into_chunks(text: str, max_words: int = config.CHUNK_SIZE_WORDS) -> Li
     at word boundaries as a last resort: individual tokens stay intact,
     but whitespace between them is normalized.
     """
-    if max_words > config.MAX_REQUEST_WORDS:
+    if max_words > MAX_REQUEST_WORDS:
         logger.warning(
             "Requested chunk size of %d words exceeds the %d-word request ceiling; "
             "larger requests are silently truncated by the TTS servers, so the "
-            "size is clamped to %d words (see MAX_REQUEST_WORDS in converter/config.py)",
-            max_words, config.MAX_REQUEST_WORDS, config.MAX_REQUEST_WORDS)
-        max_words = config.MAX_REQUEST_WORDS
+            "size is clamped to %d words (see MAX_REQUEST_WORDS in converter/chunking.py)",
+            max_words, MAX_REQUEST_WORDS, MAX_REQUEST_WORDS)
+        max_words = MAX_REQUEST_WORDS
     if max_words < 1:
         max_words = 1