update

app.py

@@ -2,17 +2,12 @@ import gradio as gr
 from classification import classify_image
 import pickle
 
-# Load the pre-trained classifiers
-clf_glcm = pickle.load(open('clf_glcm.pkl', 'rb'))
-clf_lbp = pickle.load(open('clf_lbp.pkl', 'rb'))
-
-
 # Create a Gradio interface with a dropdown menu for algorithm selection
 iface = gr.Interface(
     fn=classify_image, 
     inputs=[
         gr.Image(type='numpy', label="Upload an Image"),
-        gr.Dropdown(choices=['GLCM', 'LBP'], label="Algorithm", value='GLCM')
+        gr.Dropdown(choices=['GLCM', 'LBP'], label="Algorithm", value='GLCM'),
     ],
     outputs='text',
     title='Texture Classification',

classification.py

@@ -77,6 +77,10 @@ def classify_image(image, algorithm):
     # Suppress the warning about feature names
     warnings.filterwarnings("ignore", message="X does not have valid feature names")
     
+    # Load the pre-trained classifiers
+    clf_glcm = pickle.load(open('clf_glcm.pkl', 'rb'))
+    clf_lbp = pickle.load(open('clf_lbp.pkl', 'rb'))
+
     # If the image is a NumPy array, it's already loaded
     if isinstance(image, np.ndarray):
         img = cv2.resize(image, (128, 128))