Update pages/Simple-EDA.py

pages/Simple-EDA.py

@@ -2,43 +2,7 @@ import streamlit as st
 import pandas as pd
 import os
 
-# Define a persistent file path for the dataset
-DATA_FILE_PATH = "persistent_dataset.csv"
 
 # Page Title
-st.markdown("<h1 style='text-align:center; color:yellow;'>Hotel Data Set</h1>", unsafe_allow_html=True)
+st.markdown("<h1 style='text-align:center; color:;'>Simple EDA</h1>", unsafe_allow_html=True)
 
-# Check if a dataset already exists on disk
-if os.path.exists(DATA_FILE_PATH):
-    # If dataset exists, load it
-    df = pd.read_csv(DATA_FILE_PATH)
-
-    # Display dataset
-    st.subheader("Current Dataset (Previously Uploaded):")
-    st.write(df.head())  # Display the first 5 rows of the dataset
-
-    st.subheader("Dataset Description:")
-    st.write(df.describe())
-
-    st.subheader("Dataset Shape (Rows, Columns):")
-    st.write(df.shape)
-else:
-    st.info("No dataset found. Please upload a CSV file.")
-
-# File uploader widget to upload a new dataset
-uploaded_file = st.file_uploader("Choose a CSV file", type=["csv"])
-
-if uploaded_file is not None:
-    # Read the uploaded CSV file into a pandas DataFrame
-    df = pd.read_csv(uploaded_file)
-
-    # Save the dataset permanently to disk
-    df.to_csv(DATA_FILE_PATH, index=False)
-
-    # Display the uploaded dataset
-    st.subheader("Uploaded Dataset Preview:")
-    st.write(df.head())  # Display the first 5 rows
-
-    # Display success message
-    st.success(f"Dataset uploaded and saved permanently as {DATA_FILE_PATH}!")
-