Michael McGuinness
215 lines
7.6 KiB
Python
215 lines
7.6 KiB
Python
import constants
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import streamlit as st
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from streamlit_extras.add_vertical_space import add_vertical_space
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from streamlit_pdf_viewer import pdf_viewer
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import pandas as pd
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from typing import List
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import os
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import re
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st.set_page_config(layout="wide")
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# Sidebar contents
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with st.sidebar:
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st.title("Doczy.AI ™")
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st.markdown(
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"""
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## About
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This app extracts data from contracts
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"""
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)
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# AARETE LOGO
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x, y, z = st.columns([15, 2, 15])
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with y:
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st.image("aaretelogo.png")
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hide_img_fs = """
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<style>
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button[title="View fullscreen"]{
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visibility: hidden;}
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</style>
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"""
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st.markdown(hide_img_fs, unsafe_allow_html=True)
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_, c1 = st.columns([5, 1])
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st.session_state["user_info"] = {
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"mail": constants.current_user["mail"],
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"displayName": constants.current_user["name"],
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}
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try:
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c1.write(f"User: **{st.session_state.user_info['displayName']}**")
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user_mail = st.session_state.user_info["mail"]
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except KeyError as e:
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st.write("Session Expired.")
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st.stop()
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# try:
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# query = 'select * from "PROMPT_CONFIG"'
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# cur.execute(query)
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# fields = pd.DataFrame.from_records(iter(cur), columns=[x[0] for x in cur.description])
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# fields.rename(columns={'FIELD_DESC': 'Field Name'}, inplace = True)
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# fields.rename(columns={'PROMPT': 'Interrogation Question?'}, inplace = True)
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# fields.rename(columns={'GROUP_ID': 'PRIORITY'}, inplace = True)
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# fields.rename(columns={'FIELD_NAME': 'SF_DB_COL_NAME'}, inplace = True)
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# fields.rename(columns={'FM_MODEL_ID': 'llm_selected'}, inplace = True)
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# except Exception as e:
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# st.write("Unable to fetch data from Snowflake: ",e)
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# # fields = pd.read_csv('contract_fields.csv', encoding='unicode_escape', skipinitialspace=True)
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# # fields = fields[~fields['SF_COL_NAME'].str.endswith('_PG', na=None)]
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client_row = st.columns([0.2, 0.7, 0.1])
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with client_row[0]:
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st.write("**Client Name**")
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with client_row[1]:
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client = st.selectbox(
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"Client Name", (constants.client_list), label_visibility="collapsed", index=None
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)
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if client:
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try:
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folder_path = os.path.join(os.getcwd(), f"temp/{client}")
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files = os.listdir(folder_path)
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for f in files:
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print(f.lower().endswith(".pdf"))
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file_list = [f for f in files if f.lower().endswith(".pdf")]
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except Exception as e:
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print(f"An error occurred: {e}")
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file_list = []
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contract_list = sorted(file_list)
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file_row = st.columns([0.2, 0.7, 0.1])
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with file_row[0]:
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st.write("**Contract Name**")
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with file_row[1]:
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file_name = st.selectbox(
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"Select a file",
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["All"] + contract_list,
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label_visibility="collapsed",
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index=None,
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)
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field_row = st.columns([0.2, 0.7, 0.1])
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with field_row[0]:
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st.write("**Field Group**")
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with field_row[1]:
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field_group = st.selectbox(
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"Field Group",
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("Unique Key", "Pricing Before Carveouts", "Contract Related"),
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label_visibility="collapsed",
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index=None,
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)
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button_cols = st.columns([1, 1, 8])
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with button_cols[0]:
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if st.button("Show PDF"):
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if file_name == None or file_name == "All":
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st.error("Choose one specific file.")
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else:
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with st.sidebar:
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st.markdown(
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"""
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<style>
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section[data-testid="stSidebar"] {
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width: 550px !important; # Set the width to your desired value
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}
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</style>
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""",
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unsafe_allow_html=True,
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)
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pdf_viewer(os.path.join(folder_path, file_name), width=1500)
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with button_cols[1]:
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df2 = pd.read_csv("temp2.csv")
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if st.button("Show Results"):
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try:
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csv_name = re.sub(
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r"\.pdf",
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".csv",
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os.path.join(folder_path, file_name),
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flags=re.IGNORECASE,
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)
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df2 = pd.read_csv(csv_name)
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except:
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df2 = pd.DataFrame(
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columns=[
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"Filename",
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"Agreement_Name (Contract Title)",
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"PAYER NAME",
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"Health Plan State",
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"Affiliate (Y/N)",
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"Credentialing Application Indicator",
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"Term Clause",
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"Evergreen, Fixed or Hard Term",
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"Termination Date",
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"Termination Upon Notice - Days",
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"Termination With Cause - Days",
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"Amend Contract Upon notice Flag (Y/N)",
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"Timeframe to Object - Days",
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"Assignments Clause (Y/N)",
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"Contract Effective Date",
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"IRS #",
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"IRS_Name",
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"NPI (10-digits)",
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"NPI_NAME",
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"PROV_GROUP_TIN_SIGNATORY",
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"PROV_TIN_OTHER",
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"PROV_NPI_OTHER",
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"Notice to Provider Name",
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"Notice to Provider Address",
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"Sequestration Language",
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"Sequestration Reductions, included [Medicare only] (Y/N)",
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"PROV_TIN_OTHER.1",
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"PROV_NPI_OTHER.1",
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"Parent Agreement Code",
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"Pages",
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"page_num",
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"Attachment/Exhibit",
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"Line of Business",
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"Provider Type",
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"Provider Type - Level 2",
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"Service Type",
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"Plan Type",
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"Lesser of Logic Language, included (Y/N)",
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"Lesser of Rate",
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"Reimb. Methodology",
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"Reimb. Methodology_short",
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"If rate is % of Payer or MCR [STANDARD]",
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"If rate is % of Payer or MCR [STANDARD]_Short",
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"If rate is Flat Fee [STANDARD]",
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"Default Term",
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"Default Rate",
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'Inclusion of essential RBRVS "Fee Source" Language (Y/N)',
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"CDM Neutralization Language, included (Y/N)",
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"Chargemaster Protection Language",
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"Exclusions",
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"Not to Exceed",
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"Escalator or COLA (Y/N)",
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"Escalator I, Eff. Date",
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"IP/OP",
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"IP - DSH/IME/UC, included (Y/N)",
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"IP - Stoploss Catastrophic Threshold",
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]
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)
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df2["Imputed Value"] = ""
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df2.to_csv("temp2.csv", index=False)
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edited_df = st.data_editor(df2)
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@st.cache_data
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def convert_df(df):
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return df.to_csv(index=False).encode("utf-8")
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csv = convert_df(edited_df)
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buttons = st.columns(3)
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with buttons[0]:
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# st.button("Save All Imputations")
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st.download_button(
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"Download Table", csv, "file.csv", "text/csv", key="download-csv"
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)
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with buttons[1]:
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# st.download_button("Download Table", csv, "file.csv", "text/csv", key='download-csv')
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st.write("")
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