Upload app.py

app.py

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+import streamlit as st
+import pandas as pd
+from typing import List
+from io import BytesIO
+from tempfile import NamedTemporaryFile
+
+# Function to append files
+def append_files(files: List[BytesIO]):
+    dfs = []
+    file_dimensions = []
+    file_names = []
+    
+    for file in files:
+        try:
+            if file.name.endswith('.xls') or file.name.endswith('.xlsx'):
+                df = pd.read_excel(file)
+            elif file.name.endswith('.csv'):
+                df = pd.read_csv(file)
+            
+            # Store dimensions and filename of each file
+            file_dimensions.append(df.shape)
+            file_names.append(file.name)
+            dfs.append(df)
+        
+        except Exception as e:
+            st.error(f"Error reading file {file.name}: {e}")
+            return None, [], []
+    
+    if len(dfs) == 0:
+        st.warning("No valid files found to append.")
+        return None, [], []
+    
+    try:
+        appended_df = pd.concat(dfs, ignore_index=True)
+        appended_dimensions = appended_df.shape
+    except Exception as e:
+        st.error(f"Error appending files: {e}")
+        return None, [], []
+    
+    return appended_df, file_names, file_dimensions, appended_dimensions
+
+# Streamlit UI
+def main():
+    st.title(':blue[Append Excel/CSV Files]')
+    st.write("")
+    uploaded_files = st.file_uploader("Upload your files", accept_multiple_files=True)
+
+    if st.button("Append Files") and uploaded_files:
+        st.write("")
+        files_data = [file for file in uploaded_files]
+        appended_data, file_names, file_dimensions, appended_dimensions = append_files(files_data)
+        
+        if appended_data is not None:
+            st.subheader(":blue[Dimensions of Uploaded Files:]")
+            for i, (filename, dim) in enumerate(zip(file_names, file_dimensions), start=1):
+                st.write(f"{filename}: {dim[0]} rows, {dim[1]} columns")
+            
+            st.subheader("\n:blue[Dimensions of Appended Data:]")
+            st.write(f"Appended Data: {appended_dimensions[0]} rows, {appended_dimensions[1]} columns")
+            st.write("")
+            
+            st.subheader("\n:blue[Appended Data:]")
+            st.write(appended_data)
+            
+            # Allow user to download the appended file as CSV
+
+            col1, col2 = st.columns([0.5, 1.2])
+
+            with col1:
+
+                with NamedTemporaryFile(delete=False, suffix='.csv') as temp_csv:
+                    appended_data.to_csv(temp_csv.name, index=False)
+                    st.download_button(label="Download Appended CSV", data=temp_csv.name, file_name='appended_data.csv', mime='text/csv')
+            
+            with col2:
+            # Allow user to download the appended file as Excel (xlsx)
+                with NamedTemporaryFile(delete=False, suffix='.xlsx') as temp_xlsx:
+                    appended_data.to_excel(temp_xlsx.name, index=False)
+                    st.download_button(label="Download Appended Excel", data=temp_xlsx.name, file_name='appended_data.xlsx', mime='application/vnd.openxmlformats-officedocument.spreadsheetml.sheet')
+        
+        else:
+            st.warning("Unable to append files. Please check your files and try again.")
+
+if __name__ == '__main__':
+    main()