Upload app.py

app.py

@@ -2,18 +2,11 @@ import gradio as gr
 import tensorflow as tf
 from tensorflow.keras.applications.inception_resnet_v2 import preprocess_input
 from tensorflow.keras.preprocessing import image
+from tensorflow.keras.models import load_model
 import numpy as np
 from PIL import Image
 
-# Define the path to your model file
-model_path = "best_model_InceptionV2.keras"
-
-# Try to load the trained InceptionV2 model
-try:
-    model = tf.keras.models.load_model(model_path)
-    print("Model loaded successfully.")
-except Exception as e:
-    print(f"Error loading the model: {e}")
+model = load_model('best_model_InceptionV2.keras')
 
 # Function for prediction
 def predict(img):