Delete app.py

app.py

@@ -1,65 +0,0 @@
-import streamlit as st
-import pandas as pd
-import re
-import pandasql as psql
-import base64  # For file download
-
-################################
-####### Generic functions ######
-################################
-def process_input():
-    try:
-        if uploaded_files is not None:
-            for file in uploaded_files:
-                df = pd.read_csv(file)
-
-                pattern = r'([^/]+)\.csv$'
-                match = re.search(pattern, file.name)
-                file_name = match.group(1)
-
-                globals()['%s' % file_name] = df
-    except Exception as e:
-        st.error(f"Error processing csv: {str(e)}")
-
-################################
-####### Display of data ########
-################################
-
-# Streamlit Settings
-st.set_page_config(layout='wide')
-col1, col2, col3 = st.columns([1.5, 2, 0.5])
-with col2:
-    st.title("Migration Utility")
-
-# Data Display Layout
-col1, col2, col3 = st.columns([1.25, 2, 0.5])
-with col1:
-    options = ["csv", "xlsx"]
-    file_type = st.selectbox(
-        "Select Input File Type",
-        options, key="file_type"
-    )
-
-# -- Layout for File Upload
-col1, col2, col3 = st.columns([1, 1, 1])
-with col1:
-    uploaded_files = st.file_uploader(
-        "Choose a file",
-        type=file_type,
-        key="uploaded_files",
-        accept_multiple_files=True
-    )
-
-# -- Layout for query and result
-sql_query = st.text_area(label="Sql Query", value="", key="sql_query", height=200)
-if st.button("Run SQL Query"):
-    process_input()
-    try:
-        result_df = psql.sqldf(sql_query, globals())
-        st.write("Query Result")
-        st.dataframe(result_df)
-        csv_data = result_df.to_csv(index=False)
-        b64 = base64.b64encode(csv_data.encode()).decode()
-        st.markdown(f'<a href="data:file/csv;base64,{b64}" download="result.csv">Download Result CSV</a>', unsafe_allow_html=True)
-    except Exception as e:
-        st.error(f"Error executing SQL query: {str(e)}")