Upload 4 files

casting_loader.py

@@ -34,12 +34,12 @@ except Exception as e:
     chromadb = None  # type: ignore
     log.error("No se pudo importar chromadb: %s", e)
 
-from libs.vision_tools_salamandra import FaceAnalyzer
+from vision_tools import FaceAnalyzer
 from collections import Counter
 
 # Audio: reuse get_embedding from the existing pipeline
-from libs.audio_tools_ana_2 import VoiceEmbedder
-from libs.vision_tools_salamandra import FaceOfImageEmbedding
+from audio_tools import VoiceEmbedder
+from vision_tools import FaceOfImageEmbedding
 
 # Optional
 try:
@@ -118,7 +118,7 @@ def aggregate_face_attributes(faces_dir: Path, out_csv: Path) -> int:
     Usa FaceAnalyzer para extraer atributos.
     """
     # Inicializa el analizador
-    from libs.vision_tools_salamandra import FaceAnalyzer
+    # FaceAnalyzer already imported at module level
     analyzer = FaceAnalyzer()
 
     rows: List[Dict[str, Any]] = []

vision_tools.py

@@ -42,7 +42,7 @@ import os, base64, requests, subprocess, contextlib, time
 from transformers import AutoProcessor, LlavaForConditionalGeneration
 from PIL import Image
 
-from libs.audio_tools_ana_2 import process_audio_for_video
+from audio_tools import process_audio_for_video
 
 import cv2
 
@@ -51,14 +51,8 @@ try:
 except Exception:
     face_recognition = None  # type: ignore
 
-try:
-    # Utility wrapper for DeepFace
-    from libs.face_utils import FaceRecognizer as DFRecognizer
-except Exception:
-    try:
-        from face_utils import FaceRecognizer as DFRecognizer
-    except Exception:
-        DFRecognizer = None  # type: ignore
+# FaceRecognizer not available in this deployment
+DFRecognizer = None  # type: ignore
 
 try:
     from deepface import DeepFace
@@ -469,7 +463,6 @@ def process_frames(
 
     # Crear embedding_model si no se pasa
     if embedding_model is None:
-        from libs.vision_tools import FaceOfImageEmbedding
         embedding_model = FaceOfImageEmbedding()
 
     for idx, frame in enumerate(frames):