app.py

import streamlit as st
import pandas as pd
import ydata_profiling
from streamlit_pandas_profiling import st_profile_report

# Judul Aplikasi
st.set_page_config(page_title='Data Profiling', layout='wide')
st.title('📊 Data Profiling Dashboard')

# Upload File
uploaded_file = st.file_uploader("Upload dataset (CSV)", type=['csv'])

@st.cache_data
def load_data(file):
    return pd.read_csv(file)

if uploaded_file is not None:
    df = load_data(uploaded_file)
    st.success("Dataset berhasil diunggah!")
    
    # Profiling Data
    st.subheader("🔍 Profiling Data")
    profile = df.profile_report()
    st_profile_report(profile)
else:
    st.info("Silakan unggah file CSV untuk mulai menganalisis data.")

# Tambahkan file requirements.txt untuk deploy di Hugging Face
with open("requirements.txt", "w") as f:
    f.write("streamlit\npandas\nydata-profiling\nstreamlit-pandas-profiling")