Delete appbackup.py

appbackup.py

@@ -1,28 +0,0 @@
-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)