import streamlit as st import pandas as pd import plotly.express as px import pandas_profiling @st.cache def load_data(file): return pd.read_csv(file) def main(): st.set_page_config(page_title="AutoML", page_icon=":robot:", layout="wide") st.title("AutoML Streamlit Application") file = st.file_uploader("Upload your CSV file", type=["csv"]) if file is not None: df = load_data(file) st.dataframe(df.head(10)) st.write("Statistics:") st.write(df.describe()) st.write("Data Distribution:") st.write(df.hist()) st.write("Pandas Profiling:") profile = df.profile_report(title="Pandas Profiling Report") st.write(profile) st.write("Pandas Profiling (Sunburst Chart):") sunburst = profile.get_final_html() st.write(sunburst, unsafe_allow_html=True) st.write("Filter by Column:") column = st.selectbox("Select Column", df.columns) filtered = df.sort_values(by=column) st.write(filtered) if __name__ == '__main__': main()