Update pages/Hotel Data.py

pages/Hotel Data.py

@@ -1,29 +1,43 @@
 import streamlit as st
 import pandas as pd
+import os
 
-# Page 1 - Upload and Store Dataset
-st.markdown("<h1 style='text-align:center; color:yellow;'>Hotel Data Set - Upload</h1>", unsafe_allow_html=True)
+# Define a persistent file path for the dataset
+DATA_FILE_PATH = "dataset.csv"
 
-# File uploader widget for CSV files
+# Page Title
+st.markdown("<h1 style='text-align:center; color:yellow;'>Hotel Data Set</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 DataFrame to session state
-    st.session_state.df = df
+    # Save the dataset permanently to disk
+    df.to_csv(DATA_FILE_PATH, index=False)
 
-    # Display the first few rows of the dataset
-    st.subheader("Dataset Preview:")
-    st.write(df)  # Display the first 5 rows
+    # Display the uploaded dataset
+    st.subheader("Uploaded Dataset Preview:")
+    st.write(df.head())  # Display the first 5 rows
 
-    # Display a success message
-    st.success("Dataset uploaded and saved successfully!")
-
-elif 'df' in st.session_state:
-    # If a dataset is already stored in session state
-    st.subheader("Dataset Preview (Previously Uploaded):")
-    st.write(st.session_state.df.head())
-else:
-    st.info("Please upload a CSV file to see the dataset information.")
+    # Display success message
+    st.success(f"Dataset uploaded and saved permanently as {DATA_FILE_PATH}!")