- import streamlit as st
- import pandas as pd
- def main():
- # Page title
- st.title("TOS Data Harmonization Platform")
- # Harmonization data
- harmonization_data = [
- {"Type": "Competitor Harmonization", "Description": "0000"},
- {"Type": "Product Harmonization", "Description": ""},
- {"Type": "Market/Format Harmonization", "Description": "000"},
- {"Type": "Cognitive and Integrated Insights platform powered by AI/ML", "Description": ""},
- {"Type": "Time Period Harmonization", "Description": ""}
- ]
- # Convert to DataFrame
- df = pd.DataFrame(harmonization_data)
- # Display harmonization types
- st.subheader("Harmonization Types")
- st.table(df)
- # Additional information for each type
- st.subheader("Additional Information")
- # Select type
- selected_type = st.selectbox("Select a type:", df["Type"])
- # Display description
- description = df.loc[df["Type"] == selected_type, "Description"].values[0]
- st.write(f"**Description:** {description}")
- if __name__ == "__main__":
- main()
[text] K
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