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app.py

@@ -46,18 +46,22 @@ def process_image(image, preprocess):
     processed_image = preprocess(image).unsqueeze(0)
     return processed_image
 
+@st.cache_resource
+def load_knn():
+    return np.load(knnpath)
+
 def main():
     st.title("Percept Human Perception Analyzer")
-    
+ 
     try:
-        # Load model (uses st.cache_resource)
-        with st.spinner('Loading model... This may take a moment.'):
+        with st.spinner('Loading CLIP model... This may take a moment.'):
             model, preprocess, tokenizer = load_model()
     except Exception as e:
         st.error(f"Error loading model: {str(e)}")
         st.info("Please make sure you have enough memory and the correct dependencies installed.")
 
-    knn = np.load(knnpath)
+    with st.spinner('Loading KNN model... This may take a moment.'):
+        knn = load_knn()
     st.write(knn['walkability_vecs'].shape)
 
     file = st.file_uploader('Upload An Image')