Solución completa: Forzar TensorFlow 2.12.0 y Keras 2.12.0 compatibles

.hugginface

@@ -0,0 +1,14 @@
+build_env:
+  cuda: "11.8"
+  python: "3.10"
+  system:
+    packages:
+      - "libgl1-mesa-glx"
+      - "libglib2.0-0"
+      - "libsm6"
+      - "libxrender1"
+      - "libxext6"
+      - "libx11-6"
+      - "libcairo2"
+      - "ffmpeg"
+      - "cmake" 

app.py

@@ -1,60 +1,11 @@
+# Simple app.py for Face Detection - compatible with TF 2.12.0
 import os
 import sys
+import streamlit as st
 
-# Intenta importar streamlit
-try:
-    import streamlit as st
-except ImportError:
-    print("Error: No se pudo importar streamlit. Instalando...")
-    os.system("pip install streamlit>=1.31.0")
-    import streamlit as st
-
-# Configura variables de entorno para TensorFlow
-os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'  # Reducir mensajes de TensorFlow
-os.environ['CUDA_VISIBLE_DEVICES'] = '-1'  # Forzar CPU para evitar problemas con GPU en entornos cloud
-
-# Configura mensaje de error personalizado para dlib
-try:
-    import dlib
-    DLIB_AVAILABLE = True
-except ImportError:
-    DLIB_AVAILABLE = False
-    print("Warning: dlib no está disponible. Algunas funciones pueden estar limitadas.")
-
-# Verificar TensorFlow y configurar ambiente
-try:
-    import tensorflow as tf
-    tf_version = tf.__version__
-    print(f"TensorFlow version: {tf_version}")
-except Exception as e:
-    print(f"Warning: TensorFlow initialization error: {e}")
-
-# Aplicar parches para DeepFace y RetinaFace
-try:
-    # Intenta importar y aplicar parches
-    import deepface_patch
-    deepface_patch.apply_patches()
-except Exception as e:
-    print(f"Warning: Failed to apply patches: {e}")
-
-# Asegurar que los archivos necesarios estén disponibles
-required_model_files = [
-    "deploy.prototxt",
-    "res10_300x300_ssd_iter_140000.caffemodel",
-    "shape_predictor_68_face_landmarks.dat"
-]
-
-for model_file in required_model_files:
-    if not os.path.exists(model_file):
-        print(f"Note: {model_file} will be downloaded automatically when needed")
-
-# Importa la aplicación principal
+# Importar la aplicación principal
+print("Starting Face Detection Application...")
 from streamlit_app import main
 
 if __name__ == "__main__":
-    # Imprime información del sistema para debugging
-    print(f"Python version: {sys.version}")
-    print(f"DLIB available: {DLIB_AVAILABLE}")
-    
-    # Ejecuta la aplicación principal
     main() 

force_update.txt

@@ -0,0 +1,2 @@
+Force update with compatible TensorFlow 2.12.0 and Keras 2.12.0
+Updated: 2025-03-17 

packages.txt

@@ -6,7 +6,4 @@ libxext6
 libx11-6
 libcairo2
 ffmpeg
-cmake
-libatk1.0-0
-libatk-bridge2.0-0
-libhdf5-dev 
+cmake 

requirements.txt

@@ -1,15 +1,14 @@
-streamlit>=1.31.0
-opencv-python-headless>=4.8.0
-numpy>=1.26.0
-Pillow>=10.0.0
-scikit-learn>=1.0.0
-matplotlib>=3.5.0
-pandas>=1.3.0
-deepface>=0.0.79
-tensorflow==2.15.0
-keras==2.15.0
-scipy>=1.7.0
-mtcnn>=0.1.0
-retina-face>=0.0.1
-requests>=2.25.0
-dlib-binary>=19.22.0
+streamlit==1.31.0
+opencv-python-headless==4.8.0
+numpy==1.24.3
+Pillow==10.0.0
+scikit-learn==1.0.2
+matplotlib==3.7.2
+pandas==2.0.3
+tensorflow==2.12.0
+keras==2.12.0
+scipy==1.11.3
+mtcnn==0.1.1
+retina-face==0.0.12
+requests==2.31.0
+dlib-binary==19.24.2

runtime.txt

@@ -0,0 +1 @@
+python-3.10