Update main_process/salamandra_router.py

main_process/salamandra_router.py

@@ -32,6 +32,8 @@ from asr_client import (
     identificar_veu
 )
 
+from schat_client import resumir_frases_salamandra, identificar_personajes
+
 from storage.common import validate_token
 from storage.files.file_manager import FileManager
 from storage.embeddings_routers import get_embeddings_json
@@ -41,11 +43,6 @@ from main_process.main_router import (
     get_initial_srt_path
 )
 
-from schat_client import (
-    resumir_frases_salamandra, 
-    identificar_personajes
-)
-
 EMBEDDINGS_ROOT = Path("/data/embeddings")
 MEDIA_ROOT = Path("/data/media")
 os.environ["CUDA_VISIBLE_DEVICES"] = "1"
@@ -893,6 +890,8 @@ class UNE_Actor_prev:
 
 class UNE_Actor:
     def __call__(self, state: NState, srt_original_silence_con_ad_ocr_identity_une_1, srt_original_silence_con_ad_ocr_identity_une_2):
+        print("UNE_Actor.__call__ iniciado")
+
         silence_dict = words_silence_srt(srt_original_silence_con_ad_ocr_identity_une_1)
 
         with open(srt_original_silence_con_ad_ocr_identity_une_1, "r", encoding="utf-8-sig") as f:
@@ -1458,7 +1457,7 @@ async def generate_salamadra_result(
     messages_registro = [{"role": "system", "content": "Eres un agente que puede ejecutar herramientas Python usando las herramientas disponibles."}]
     
     count = 1
-    
+
     user_prompt = "Ejecuta la función add_ad"
     #final_state, messages_registro = run_salamandra_agent(salamandraclient, state, tools, user_prompt, messages_registro, count)
     state = add_ad(state, temp_srt_files[0].name, temp_srt_files[1].name)