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Download utils/load_user_data.py from tkbarb10/ads505-app: direct link, hf CLI and curl.
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- Download file 415 Bytes
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https://huggingface.co/spaces/tkbarb10/ads505-app/resolve/main/utils/load_user_data.py
- Command line
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hf download hf://spaces/tkbarb10/ads505-app/utils/load_user_data.py
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curl -L -o load_user_data.py https://huggingface.co/spaces/tkbarb10/ads505-app/resolve/main/utils/load_user_data.py
415 Bytes
| import pandas as pd | |
| import streamlit as st | |
| def load_uploaded_file(uploaded_file) -> pd.DataFrame | None: | |
| filename = uploaded_file.name.lower() | |
| if filename.endswith(".csv"): | |
| return pd.read_csv(uploaded_file) | |
| elif filename.endswith(".parquet"): | |
| return pd.read_parquet(uploaded_file) | |
| else: | |
| st.error("Unsupported file type. Please upload a CSV or Parquet file.") | |
| return |