auto-save 2026-05-14 10:25 (~13)

api/main.py

@@ -104,7 +104,7 @@ JobStatus = Literal[
     "transcribing", "transcribed", "failed",
 ]
 
-KEYFRAME_COUNT = int(os.getenv("KEYFRAME_COUNT", "5"))
+KEYFRAME_COUNT = int(os.getenv("KEYFRAME_COUNT", "12"))
 FrameExtractTarget = Literal["transparent_human", "balanced", "subject", "transition", "expression", "motion"]
 FrameExtractMode = Literal["replace", "append"]
 FrameExtractQuality = Literal["auto", "fast", "accurate", "ultra"]
@@ -1327,7 +1327,7 @@ async def analyze_queue_worker() -> None:
         ANALYZE_WORKER_RUNNING = False
 
 
-# ---------- Gemini ASR + 翻译 ----------
+# ---------- 音频转写 + 翻译 + SKG 改写 + MiniMax 配音 ----------
 
 def _transcribe_sync(wav: Path) -> list[dict]:
     """whisper-1 verbose_json → segments[{start, end, text}]"""
@@ -1347,7 +1347,7 @@ def _transcribe_sync(wav: Path) -> list[dict]:
 
 
 def _translate_sync(segments: list[dict]) -> list[str]:
-    """gemini-2.5-flash 批量翻译为中文，按段返回"""
+    """批量翻译为中文，按段返回"""
     payload = [{"i": i, "en": s.get("text", "").strip()} for i, s in enumerate(segments)]
     prompt = (
         "你是字幕翻译。把下列英文字幕段翻译为简体中文，保持原意、口语化、自然流畅。"