Update app.py

app.py

@@ -4,7 +4,10 @@ import tensorflow as tf
 from tensorflow.keras.preprocessing import image
 import numpy as np
 from PIL import Image
-import os # Import os for path checking
+import os 
+
+# This line must be the first Streamlit command.
+st.set_page_config(page_title="Brain Tumor Detector", page_icon="🧠", layout="centered")
 
 # IMPORTANT: Ensure your model file 'brain_tumor_model.keras' is in the same directory as app.py
 MODEL_PATH = 'brain_tumor_model.keras'
@@ -26,7 +29,6 @@ def load_model():
 model = load_model()
 
 # Set up the Streamlit interface
-st.set_page_config(page_title="Brain Tumor Detector", page_icon="🧠", layout="centered")
 st.title("🧠 Brain Tumor Detection App")
 st.write("""
 Upload a brain MRI image below to get a prediction on whether a tumor is detected.