Update translator.py

translator.py

@@ -86,27 +86,11 @@ class Translator:
         self._tokenizer       = None
         self._model           = None
         self._nllb_loaded     = False
-        print("[Translator] Ready — pre-loading Telugu + Hindi in background...")
-
-        # Pre-load most common models at startup in background thread
-        threading.Thread(target=self._preload_common_models, daemon=True).start()
-
-    def _preload_common_models(self):
-        """Pre-load Telugu and Hindi models at startup (background)."""
-        time.sleep(5)  # wait for space to fully start first
-        preload = [
-            ("en", "te"),   # English → Telugu (most common)
-            ("en", "hi"),   # English → Hindi
-        ]
-        for src, tgt in preload:
-            try:
-                model_id = HELSINKI_MODELS.get((src, tgt))
-                if model_id:
-                    print(f"[Translator] Pre-loading {src}→{tgt} ({model_id})...")
-                    self._load_helsinki(model_id)
-                    print(f"[Translator] ✅ {src}→{tgt} pre-loaded and ready!")
-            except Exception as e:
-                print(f"[Translator] Pre-load {src}→{tgt} failed: {e}")
+        # STARTUP FIX: Removed background preload thread.
+        # It was downloading ~600MB of Helsinki-NLP models at container startup,
+        # causing HuggingFace Spaces to hang on the health check and never boot.
+        # Models are now lazy-loaded on first translate() call instead.
+        print("[Translator] Ready — models load on first use")
 
     # ══════════════════════════════════════════════════════════════════
     # PUBLIC — TRANSLATE