Don't reconnect to the server

Using Streamlit
1

hi all.
I want to write a simple program with entering data through streamlit and sending this data to CasparCG. but when editing the data, I reconnect to the CasparCG server. how can i solve this problem?
short video

import streamlit as st
import pandas as pd
from amcp_pylib.core import Client

if st.checkbox("Подключиться"):
    connection = Client()
    connection.connect("127.0.0.1", 5250)
    st.success("Соединение установлено")
    is_connected = True

@st.cache_data
def load_data(uploaded_file):
    df = pd.read_excel(uploaded_file)
    return df

placeholder = st.empty()
with placeholder.container():
    tab1, tab2 = st.tabs(["Редактор", "Титры"])
    with tab1:
        col1, col2 = st.columns((3, 7))
        with col1:
            uploaded_file = st.file_uploader(
                "Choose a Excel file", type="xlsx", accept_multiple_files=False
            )

        with col2:
            if uploaded_file is not None:
                df = load_data(uploaded_file)
                # df = pd.read_excel(uploaded_file)
            else:
                df = pd.DataFrame(
                    [
                        {
                            "Имя + Фамилия / Никнейм": "",
                            "instagtam/telegram/youtube": "",
                            "Команда/амплуа": "",
                            "Выбрать": False,
                        },
                    ]
                )
            
            # print(df["Команда/амплуа"].unique())
            teams_temp = df["Команда/амплуа"].unique()
            teams_new = []
            for team1 in teams:
                if team1 in teams_temp:
                    continue
                else:
                    teams_new.append(team1)
            df["Команда/амплуа"] = (
                df["Команда/амплуа"].astype("category").cat.add_categories(teams_new)
            )
            edited_df = st.experimental_data_editor(df, num_rows="dynamic", height=600)
            category = edited_df["Команда/амплуа"].unique()

        with col1:
            # buffer to use for excel writer
            buffer = io.BytesIO()

            # download button 2 to download dataframe as xlsx
            with pd.ExcelWriter(buffer, engine="xlsxwriter") as writer:
                edited_df.to_excel(writer, sheet_name="Sheet1", index=False)
                # writer.close()

                download2 = st.download_button(
                    label="Download data as Excel",
                    data=buffer,
                    file_name="mfl_titles.xlsx",
                    mime="application/vnd.ms-excel",
                )

    with tab2:
        col1, col2 = st.columns((1, 9))
        with col1:
            option = st.selectbox("Команда", sorted(category))
        with col2:
            edited_df = st.experimental_data_editor(
                edited_df.loc[edited_df["Команда/амплуа"] == option],
                num_rows="fixed",
                height=600,
            )

Thank you

2

Hi there,

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3

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