Create app.py

app.py

@@ -0,0 +1,33 @@
+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()