try to display ds

app.py

@@ -1,4 +1,28 @@
 import streamlit as st
+import pandas as pd
+from __future__ import division
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+import numpy as np
+
+import xgboost as xgb
+
+x = st.slider("Select a value")
+st.write(x, "squared is", x * x)
+
+
+data = pd.read_csv("hf://datasets/Ammok/hair_health/predict_hair_fall.csv")
+
+
+# Calculate split point (70%)
+split_point = int(len(data) * 0.7)
+
+# Split into train and test
+train = data.iloc[:split_point]
+test = data.iloc[split_point:]
+
+# If you need numpy arrays instead of dataframes
+train_np = train.to_numpy()
+test_np = test.to_numpy()
+
+boi = st.dataframe(data)
+st.write(data)