Update model

app.py

@@ -38,18 +38,18 @@ if image_list is not None:
     else:
         count = 0
         columns = st.columns(10)
-        for i, uploaded_file in enumerate(image_list):
-            img = Image.open(uploaded_file).convert('RGB')
+        for i, uploaded_file_1 in enumerate(image_list):
+            img = Image.open(uploaded_file_1).convert('RGB')
             img = img.resize((128, 128))
             image_process_list.append(img)
             if count <= 10:
                 count += 1
-                columns[i].image(img, caption=f"Uploaded image: {uploaded_file.name}", width=64)
+                columns[i].image(img, caption=f"Uploaded image: {uploaded_file_1.name}", width=64)
 else:
     col1.write("Upload Image")
 
 if image_query is not None:
-    img_qr = Image.open(uploaded_file).convert('RGB')
+    img_qr = Image.open(image_query).convert('RGB')
     img_qr = img_qr.resize((128, 128))
     image_query_process.append(img_qr)
     col1.image(img_qr, caption="Query Image", use_column_width=True, width=98)
@@ -69,4 +69,4 @@ if st.button("Classify"):
     max_index = np.argmax(distance_list)
     image_matches = image_list[max_index]
 
-    col2.write(f"len image: {image_matches}")
+    col2.write(f"The image that have the most similarity: {image_matches}")