new model

app.py

@@ -34,7 +34,7 @@ def run_inference(interpreter, image):
 
 # Gradio interface function
 def predict(image):
-    interpreter = load_tflite_model("MNv2Flood_cat_Sept2024.tflite")  # Replace with your TFLite model path
+    interpreter = load_tflite_model("MNv2Flood_cat_Mar2025.tflite")  # Replace with your TFLite model path
     preprocessed_image = preprocess_image(image)
     prediction = run_inference(interpreter, preprocessed_image)