Update app.py

app.py

@@ -28,52 +28,24 @@ if uploaded_files:
         dataframes.append(df)
 
     
-    merge = st.checkbox("Merge uploaded CSV files")
+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')
+show_dataframes = st.checkbox("Show DataFrames", value=True)
 
-            if remove_duplicate_rows == "Yes":
-                merged_df.drop_duplicates(inplace=True)
+if show_dataframes:
+    for i, df in enumerate(dataframes):
+        st.write(f"DataFrame {i + 1}")
+        st.dataframe(df)
 
-            if remove_empty_rows == "Yes":
-                merged_df.dropna(how="all", inplace=True)
+if st.button("Download cleaned data"):
+    for i, df in enumerate(dataframes):
+        csv = df.to_csv(index=False)
+        b64 = base64.b64encode(csv.encode()).decode()
+        href = f'<a href="data:file/csv;base64,{b64}" download="cleaned_data_{i + 1}.csv">Download cleaned_data_{i + 1}.csv</a>'
+        st.markdown(href, unsafe_allow_html=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)
-
-    if show_dataframes:
-        for i, df in enumerate(dataframes):
-            st.write(f"DataFrame {i + 1}")
-            st.dataframe(df)
-
-    if st.button("Download cleaned data"):
-        for i, df in enumerate(dataframes):
-            csv = df.to_csv(index=False)
-            b64 = base64.b64encode(csv.encode()).decode()
-            href = f'<a href="data:file/csv;base64,{b64}" download="cleaned_data_{i + 1}.csv">Download cleaned_data_{i + 1}.csv</a>'
-            st.markdown(href, unsafe_allow_html=True)
-else:
-    st.warning("Please upload CSV file(s).")
-    st.stop()
 
 st.markdown("")
 st.markdown("---")