Update app.py

app.py

@@ -9,35 +9,41 @@ os.environ['CUDA_VISIBLE_DEVICES'] = '-1'
 import gradio as gr
 import numpy as np
 
-def setup_tensorflow():
-    try:
-        import tensorflow as tf
-        print(f"TensorFlow {tf.__version__} déjà disponible")
-        return tf
-    except ImportError:
-        print("Installation de TensorFlow...")
+L'erreur No module named 'absl' indique que les dépendances de TensorFlow ne sont pas correctement installées. Voici les solutions :
+Solution 1: Installation des dépendances d'abord
+pythonimport sys
+import subprocess
+
+def install_tensorflow_with_deps():
+    packages_to_install = [
+        "absl-py",
+        "six", 
+        "numpy",
+        "protobuf",
+        "tensorflow-cpu==2.13.0"
+    ]
+    
+    for package in packages_to_install:
         try:
-            # Installation spécifique pour environnement Gradio
+            print(f"Installation de {package}...")
             subprocess.check_call([
                 sys.executable, "-m", "pip", "install", 
-                "tensorflow-cpu==2.13.0", 
-                "--no-deps", "--force-reinstall", "--quiet"
+                package, "--quiet", "--no-warn-script-location"
             ])
-            
-            # Clear import cache
-            if 'tensorflow' in sys.modules:
-                del sys.modules['tensorflow']
-            
-            import tensorflow as tf
-            print(f"TensorFlow {tf.__version__} installé avec succès")
-            return tf
-            
         except Exception as e:
-            print(f"Erreur d'installation: {e}")
-            return None
+            print(f"Erreur avec {package}: {e}")
+    
+    try:
+        import tensorflow as tf
+        print(f"✓ TensorFlow {tf.__version__} prêt")
+        return tf
+    except Exception as e:
+        print(f"✗ Erreur finale: {e}")
+        return None
+
+# Usage
+tf = install_tensorflow_with_deps()
 
-# Usage dans votre app Gradio
-tf = setup_tensorflow()
 if tf is not None:
     from tensorflow.keras.models import Sequential
     from tensorflow.keras.layers import Embedding, GRU, Dense