directly upload the model without tensorflow

app.py

@@ -1,11 +1,16 @@
 import gradio as gr
-from huggingface_hub import from_pretrained_keras
 import tensorflow as tf
 import numpy as np
+from huggingface_hub import hf_hub_download
+
+# Function to load model from H5 file
+def load_model_from_hub(repo_id, filename):
+    model_path = hf_hub_download(repo_id=repo_id, filename=filename)
+    return tf.keras.models.load_model(model_path)
 
 # Load models from Hugging Face Hub
-model1 = from_pretrained_keras("arsath-sm/real-fake-face-detection-model1")
-model2 = from_pretrained_keras("arsath-sm/real-fake-face-detection-model2")
+model1 = load_model_from_hub("arsath-sm/real-fake-face-detection-model1", "face_detection_model1.h5")
+model2 = load_model_from_hub("arsath-sm/real-fake-face-detection-model2", "face_detection_model2.h5")
 
 def preprocess_image(image):
     img = tf.convert_to_tensor(image)