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app.py

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+from huggingface_hub import from_pretrained_keras
+import gradio as gr
+import tensorflow as tf
+import numpy as np
+import os
+
+model= tf.keras.models.load_model(os.path.join(path, "tf_model.h5"))
+
+
+inputs = gr.inputs.Image()
+outputs = gr.outputs.Image()
+
+def predict(image_input):
+  pass
+  
+