Update app.py

app.py

@@ -27,35 +27,35 @@ if uploaded_files:
         df = pd.read_csv(file)
         dataframes.append(df)
 
-    if len(dataframes) > 1:
-        merge = st.checkbox("Merge uploaded CSV files")
     
-        if merge:
-            # Merge options
-            keep_first_header_only = st.selectbox("Keep only the header (first row) of the first file", ["Yes", "No"])
-            remove_duplicate_rows = st.selectbox("Remove duplicate rows", ["No", "Yes"])
-            remove_empty_rows = st.selectbox("Remove empty rows", ["Yes", "No"])
-            end_line = st.selectbox("End line", ["\\n", "\\r\\n"])
-    
-            try:
-                if keep_first_header_only == "Yes":
-                    for i, df in enumerate(dataframes[1:]):
-                        df.columns = dataframes[0].columns.intersection(df.columns)
-                        dataframes[i+1] = df
-    
-                merged_df = pd.concat(dataframes, ignore_index=True, join='outer')
-    
-                if remove_duplicate_rows == "Yes":
-                    merged_df.drop_duplicates(inplace=True)
-    
-                if remove_empty_rows == "Yes":
-                    merged_df.dropna(how="all", inplace=True)
-    
-                dataframes = [merged_df]
-    
-            except ValueError as e:
-                st.error("Please make sure columns match in all files. If you don't want them to match, select 'No' in the first option.")
-                st.stop()
+    merge = st.checkbox("Merge uploaded CSV files")
+
+    if merge:
+        # Merge options
+        keep_first_header_only = st.selectbox("Keep only the header (first row) of the first file", ["Yes", "No"])
+        remove_duplicate_rows = st.selectbox("Remove duplicate rows", ["No", "Yes"])
+        remove_empty_rows = st.selectbox("Remove empty rows", ["Yes", "No"])
+        end_line = st.selectbox("End line", ["\\n", "\\r\\n"])
+
+        try:
+            if keep_first_header_only == "Yes":
+                for i, df in enumerate(dataframes[1:]):
+                    df.columns = dataframes[0].columns.intersection(df.columns)
+                    dataframes[i+1] = df
+
+            merged_df = pd.concat(dataframes, ignore_index=True, join='outer')
+
+            if remove_duplicate_rows == "Yes":
+                merged_df.drop_duplicates(inplace=True)
+
+            if remove_empty_rows == "Yes":
+                merged_df.dropna(how="all", inplace=True)
+
+            dataframes = [merged_df]
+
+        except ValueError as e:
+            st.error("Please make sure columns match in all files. If you don't want them to match, select 'No' in the first option.")
+            st.stop()
 
     Show or hide DataFrames
     show_dataframes = st.checkbox("Show DataFrames", value=True)