Update app.py

app.py

@@ -50,6 +50,15 @@ if page == "Clustering Analysis":
     # Upload the CSV file
     uploaded_file = st.file_uploader("Choose a CSV file", type="csv")
 
+    # Display the list of CSV files
+    directory = "./"
+    all_files = os.listdir(directory)
+    # Filter files to only include CSV files
+    csv_files = [file for file in all_files if file.endswith(".csv")]
+    st.write("CSV files in the directory:")
+    for file in csv_files:
+        st.write(file)
+    
     # Define the unsupervised model
     clusteringmodel = ['kmeans', 'ap', 'meanshift', 'sc', 'hclust', 'dbscan', 'optics', 'birch']
     selected_model = st.selectbox("Choose a clustering model", clusteringmodel)
@@ -59,15 +68,6 @@ if page == "Clustering Analysis":
     # selected_clusters = st.selectbox("Choose a number of clusters", numclusters)
     selected_clusters = st.slider("Choose a number of clusters", min_value=2, max_value=10, value=4)
 
-    directory = "./"
-    all_files = os.listdir(directory)
-    # Filter files to only include CSV files
-    csv_files = [file for file in all_files if file.endswith(".csv")]
-    # Display the list of CSV files
-    st.write("CSV files in the directory:")
-    for file in csv_files:
-        st.write(file)
-    
     # Read and display the CSV file
     if uploaded_file is not None:
         try: