Update app.py

app.py

@@ -47,9 +47,6 @@ if page == "Clustering Analysis":
     # import ClusteringExperiment
     from pycaret.clustering import ClusteringExperiment
 
-    # 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)
@@ -58,6 +55,9 @@ if page == "Clustering Analysis":
     st.write("CSV files in the directory:")
     for file in csv_files:
         st.write(file)
+
+    # Upload the CSV file
+    uploaded_file = st.file_uploader("Choose a CSV file", type="csv")
     
     # Define the unsupervised model
     clusteringmodel = ['kmeans', 'ap', 'meanshift', 'sc', 'hclust', 'dbscan', 'optics', 'birch']