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Download matching_routine.py from DvorakInnovationAI/NDIS-Match-Routine-V2: direct link, hf CLI and curl.
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- Download file 314 Bytes
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https://huggingface.co/spaces/DvorakInnovationAI/NDIS-Match-Routine-V2/resolve/main/matching_routine.py
- Command line
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hf download hf://spaces/DvorakInnovationAI/NDIS-Match-Routine-V2/matching_routine.py
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curl -L -o matching_routine.py https://huggingface.co/spaces/DvorakInnovationAI/NDIS-Match-Routine-V2/resolve/main/matching_routine.py
314 Bytes
| import streamlit as st | |
| import pandas as pd | |
| # Sample DataFrame (replace this with your actual DataFrame) | |
| df = pd.read_csv('data/routine_match.csv').drop(columns='Unnamed: 0') | |
| # Streamlit display | |
| st.title("Client-Worker matching routine") | |
| st.dataframe(df) # This will display the DataFrame in an interactive table |