Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import plotly.express as px
+
+st.set_page_config(page_title="AutoML Streamlit App", page_icon=":robot:", layout="wide")
+
+st.title("AutoML Streamlit App")
+
+# Upload a CSV dataset
+uploaded_file = st.file_uploader("Upload your dataset", type=["csv"])
+if uploaded_file is not None:
+    # Load the dataset and display the first 5 rows
+    df = pd.read_csv(uploaded_file)
+    st.dataframe(df.head())
+
+    # Generate a treemap or sunburst plot based on data types
+    numerical_cols = df.select_dtypes(include=["float", "int"]).columns
+    categorical_cols = df.select_dtypes(include=["object"]).columns
+
+    if len(numerical_cols) >= 2:
+        fig = px.scatter_matrix(df, dimensions=numerical_cols)
+        st.plotly_chart(fig)
+    elif len(categorical_cols) >= 2:
+        fig = px.treemap(df, path=categorical_cols)
+        st.plotly_chart(fig)
+    else:
+        fig = px.sunburst(df, path=categorical_cols + numerical_cols)
+        st.plotly_chart(fig)