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app.py

@@ -14,20 +14,34 @@ from PIL import Image
 # --- IMPORTAÇÃO DOS SERVIÇOS DE BACKEND E UTILS ---
 # ==============================================================================
 
-#try:
+try:
     # --- MUDANÇA PRINCIPAL: Importamos apenas o ORQUESTRADOR ---
     # O orquestrador é agora nosso único ponto de entrada para a geração de vídeo.
-from api.ltx.ltx_aduc_orchestrator import ltx_aduc_orchestrator
+    from api.ltx_aduc_orchestrator import ltx_aduc_orchestrator
     
     # O SeedVR (upscaler de resolução) ainda é um serviço separado que pode ser chamado após a geração.
-from api.seedvr.seedvr_aduc_pipeline import seed_aduc_pipeline
+    from api.seedvr.seed_aduc_pipeline import seed_aduc_pipeline
     
     # Nosso decorador de logging para depuração
-from utils.debug_utils import log_function_io
+    from utils.debug_utils import log_function_io
     
-logging.info("All backend services (Orchestrator, SeedVR) and debug utils imported successfully.")
-
-
+    logging.info("All backend services (Orchestrator, SeedVR) and debug utils imported successfully.")
+
+except ImportError as e:
+    # Lógica de falha para o decorador de log
+    def log_function_io(func): return func
+    logging.warning(f"Could not import a module. Debug logger might be disabled. Details: {e}")
+    # Verifica se o orquestrador, que é CRÍTICO, falhou ao importar.
+    if 'ltx_aduc_orchestrator' not in locals() or ltx_aduc_orchestrator is None:
+        logging.critical(f"FATAL: Main Orchestrator service failed to import or initialize.", exc_info=True)
+        sys.exit(1)
+    # SeedVR é opcional, então apenas avisamos se ele falhar.
+    if 'seed_aduc_pipeline' not in locals():
+        seed_aduc_pipeline = None
+        logging.warning("SeedVR server could not be initialized. The SeedVR upscaling tab will be disabled.")
+except Exception as e:
+    logging.critical(f"FATAL ERROR: An unexpected error occurred during backend initialization. Details: {e}", exc_info=True)
+    sys.exit(1)
 
 # ==============================================================================
 # --- FUNÇÕES WRAPPER (PONTE ENTRE UI E BACKEND) ---
@@ -199,5 +213,14 @@ def _register_event_handlers(app_state: gr.State, ui: dict):
 # ==============================================================================
 
 if __name__ == "__main__":
-    demo = build_ui()
-    demo.queue().launch(server_name="0.0.0.0", server_port=7860, debug=True, show_error=True)
+    log_level = os.environ.get("ADUC_LOG_LEVEL", "INFO").upper()
+    logging.basicConfig(level=log_level, format='[%(levelname)s] [%(name)s] %(message)s')
+    
+    print("Building Gradio UI...")
+    gradio_app = build_ui()
+    print("Launching Gradio app...")
+    gradio_app.queue().launch(
+        server_name=os.getenv("GRADIO_SERVER_NAME", "0.0.0.0"), 
+        server_port=int(os.getenv("GRADIO_SERVER_PORT", "7860")),
+        show_error=True
+    )

requirements.txt

@@ -5,7 +5,6 @@ pillow
 numpy
 torchvision
 huggingface_hub
-safetensors
 spaces
 opencv-python
 imageio