inital commit

.python-version

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+3.10

main.py

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+import streamlit as st
+import pandas as pd
+import io
+
+@st.cache_data(show_spinner=False)
+def get_sheet_names(file) -> list[str]:
+    """Return the sheet names of an Excel file."""
+    excel_file = pd.ExcelFile(file)
+    return excel_file.sheet_names
+
+@st.cache_data(show_spinner=False)
+def load_df(file, sheet_name):
+    """Read a sheet from an Excel file into a DataFrame and cache the result."""
+    return pd.read_excel(file, sheet_name=sheet_name)
+
+buffer = io.BytesIO()
+
+def main():
+    # Create columns
+    main_col1, main_col2 = st.columns([3, 7])
+
+    # File uploader
+    with main_col1:
+        uploaded_file = st.file_uploader("Choose an Excel file", type=['xlsx', 'xls'])
+        if uploaded_file is not None:
+            # ✅ Only caching serializable sheet names
+            sheet_names = get_sheet_names(uploaded_file)
+            selected_sheet = st.selectbox("Select a sheet", options=sheet_names, index=0)
+
+            # ✅ Cache the DataFrame (serializable)
+            df = load_df(uploaded_file, selected_sheet)
+            
+            st.write(df)
+
+    # Display the uploaded file's contents in the second column
+    with main_col2:
+        if uploaded_file is not None:
+            # Configure multiselects based on uploaded DataFrame columns
+            columns = list(df.columns)
+            selected_gstin = st.multiselect("GST Identification Number (GSTIN)", columns, default=columns)
+            
+
+if __name__ == "__main__":
+    st.set_page_config(layout="wide")
+    main()

pyproject.toml

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+[project]
+name = "model-trainer"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.10"
+dependencies = [
+    "streamlit>=1.50.0",
+]