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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") |