Update app.py

app.py

@@ -1,29 +1,69 @@
 import streamlit as st
+import pandas as pd
+import os
 
-# Custom HTML + CSS for background image
-# st.markdown("""
-#     <style>
-#         body {
-#             background-image: url('Black Minimalist Galaxy Space Desktop Wallpaper.png');
-#             background-size: cover;
-#             background-position: center center;
-#         }
-#     </style>
-# """, unsafe_allow_html=True)
-
-# st.background("Background_Image.png")
-
-# Home Page
-st.title("Welcome to the Hotel Data Analysis App")
-st.markdown("""
-This application is designed to help analyze hotel data, uncover insights, and build predictive models.
-Navigate through the app using the sidebar to explore various functionalities.
-### Features:
-- **Introduction and About Data**: Learn about the dataset and download a sample file.
-- **EDA and Feature Engineering**: Upload and analyze your dataset to uncover patterns and relationships.
-- **Model Creation**: Build and evaluate machine learning models using your data.
-- **Conclusion**: Summarize findings and key insights.
-### Purpose:
-This app is tailored for exploring relationships between features like price, ratings, discounts, cashback, and hotel categories, ultimately enabling data-driven decision-making.
-**Get started by selecting a page from the sidebar!**
-""")
+# Load the default dataset or upload a new one
+@st.cache_data
+def load_default_dataset():
+    file_path = "static_dataset.csv"
+    if os.path.exists(file_path):
+        return pd.read_csv(file_path)
+    else:
+        st.error("Default dataset not found. Please upload a dataset.")
+        return pd.DataFrame()
+
+# Main App
+st.set_page_config(page_title="Streamlit App with Static Dataset", layout="wide")
+st.title("Static Dataset App with Upload Feature")
+
+# Sidebar Navigation
+st.sidebar.title("Navigation")
+page = st.sidebar.radio("Go to", ["Home", "Dataset", "Other Pages"])
+
+# Global state for dataset
+if "dataset" not in st.session_state:
+    st.session_state.dataset = load_default_dataset()
+
+# Upload a new dataset
+def handle_upload():
+    uploaded_file = st.file_uploader("Upload a CSV file", type=["csv"])
+    if uploaded_file is not None:
+        try:
+            data = pd.read_csv(uploaded_file)
+            st.session_state.dataset = data
+            st.success("Dataset uploaded successfully!")
+        except Exception as e:
+            st.error(f"Error reading file: {e}")
+
+if page == "Home":
+    st.header("Welcome to the Static Dataset App")
+    st.write("This app uses a static dataset but also supports uploading a new dataset.")
+    st.write("Navigate to the 'Dataset' page to view or upload a dataset.")
+
+elif page == "Dataset":
+    st.header("Dataset")
+
+    # Dataset Preview
+    st.write("### Dataset Preview")
+    if not st.session_state.dataset.empty:
+        st.dataframe(st.session_state.dataset)
+
+        # Download button for the displayed dataset
+        st.write("### Download the Dataset")
+        csv_data = st.session_state.dataset.to_csv(index=False).encode("utf-8")
+        st.download_button(
+            label="Download Dataset",
+            data=csv_data,
+            file_name="dataset.csv",
+            mime="text/csv",
+        )
+    else:
+        st.write("No dataset available. Please upload a dataset below.")
+
+    # Upload a new dataset
+    st.write("### Upload a New Dataset")
+    handle_upload()
+
+elif page == "Other Pages":
+    st.header("Other Pages")
+    st.write("This section can be customized further based on the app's needs.")