import os

if not os.path.exists("data/"):
    os.makedirs("data/")
    # now curl -L -o data/human-segmentation-dataset.zip https://www.kaggle.com/api/v1/datasets/download/trainingdatapro/human-segmentation-dataset
    os.system("curl -L -o data/human-segmentation-dataset.zip https://www.kaggle.com/api/v1/datasets/download/trainingdatapro/human-segmentation-dataset")
    os.system("unzip data/human-segmentation-dataset.zip -d data/")
    os.system("rm data/human-segmentation-dataset.zip")





import streamlit as st
import pandas as pd
import numpy as np


voters = [
    "osman",
    "eren",
    "robin",
    "mira",
    "bilal",
    "volunteer-1",
    "volunteer-2",
    "volunteer-3",
    "volunteer-4",
    "volunteer-5",
]


with st.form("images"):

    st.write("Inside the form")
    slider_val = st.slider("How fat")

    password = st.text_input("Password", type="password")

    # select voter from the list
    username = st.selectbox("Select voter", voters)

    # Every form must have a submit button.
    submitted = st.form_submit_button("Submit")
    if submitted:
        st.write("slider", slider_val, "checkbox", checkbox_val)
st.write("Outside the form")