Update app.py

app.py

@@ -1,12 +1,27 @@
+# Example app.py for a TensorFlow model
+import tensorflow as tf
+import numpy as np
 import gradio as gr
-import torch
 
-# Load your model (replace with your model loading code)
-model = torch.load('your_model.pth')
+# Load your TensorFlow model
+model = tf.keras.models.load_model('model/model.h5')
 
 def predict(input_data):
-    # Process input and make prediction
-    return model(input_data)
+    # Preprocess input
+    processed_input = preprocess(input_data)
+    
+    # Make prediction
+    prediction = model.predict(processed_input)
+    
+    # Postprocess prediction
+    return postprocess(prediction)
 
-iface = gr.Interface(fn=predict, inputs="text", outputs="text")
-iface.launch()
+# Create Gradio interface
+iface = gr.Interface(
+    fn=predict,
+    inputs=gr.Textbox(label="Your Input"),
+    outputs=gr.Textbox(label="Prediction")
+)
+
+if __name__ == "__main__":
+    iface.launch()