Create pages/1_Data_Card_and_Data_collection.py

pages/pages/1_Data_Card_and_Data_collection.py

@@ -0,0 +1,115 @@
+import os
+import pandas as pd
+import streamlit as st
+from io import StringIO
+
+# Persistent file path for the dataset
+DATA_FILE_PATH = "healthcare-dataset-stroke-data.csv"
+
+# Page Title
+st.markdown("<h1 style='text-align:center; color:white;'>healthcare-dataset</h1>", unsafe_allow_html=True)
+
+# Function to load the dataset from the disk
+def load_dataset():
+    if os.path.exists(DATA_FILE_PATH):
+        return pd.read_csv(DATA_FILE_PATH)
+    else:
+        return None
+
+# Load or reload the dataset into session state if not already done
+if "dataset" not in st.session_state:
+    st.session_state["dataset"] = load_dataset()
+
+# 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)
+
+    # Update session state
+    st.session_state["dataset"] = df
+
+    # Display success message
+    st.success(f"Dataset uploaded and saved permanently as {DATA_FILE_PATH}!")
+
+# Access the dataset from session state
+df = st.session_state.get("dataset")
+
+if df is not None:
+    st.subheader("Dataset Preview:")
+    st.write(df, use_container_width=True)
+
+    st.subheader("Info of the Dataset:")
+    buffer = StringIO()
+    df.info(buf=buffer)
+    st.text(buffer.getvalue())
+
+    st.subheader("Dataset Shape (Rows, Columns):")
+    st.write(df.shape)
+
+    st.markdown('''**Dataset :**
+| **Feature**              | **Description**                                                    | **Example**                  |
+|--------------------------|--------------------------------------------------------------------|------------------------------|
+| **gender**               | Represents the gender of the individual.                           | "Female","Male"              |
+| **age**                  | Represents the age of the individual in years..                    | 45                           |
+| **hypertension**         | Indicates whether the individual has hypertension .                | 1                            |
+| **heart_disease**        | Indicates whether the individual has a history of heart disease.   | 0                            |
+| **ever_married**         | Indicates whether the individual has ever been married.            | "Yes"                        |
+| **work_type**            | Gender of the customer (0 - Male, 1 - Female).                     | "Self-employed               |
+| **Residence_type**       |Indicates whether the individual resides in an urban or rural area. | "Urban"                      |
+| **avg_glucose_level**    | Represents the average glucose level in the blood (in mg/dL)..     | 132.5                        |
+| **bmi**                  | Represents the individual's Body Mass Index (BMI), calculated as.  | 27.4                         |
+| **smoking_status**       | Represents the individual's smoking habits                         | "Never smoked"               |
+| **stroke**               | Indicates whether the individual has had a stroke.                 | 0 (No), 1 (Yes)              |  
+''')
+
+    
+
+else:
+    st.info("No dataset found. Please upload a CSV file.")
+
+# Define the URL of the background image (use your own image URL)
+background_image_url = "https://cdn-uploads.huggingface.co/production/uploads/67441c51a784a9d15cb12871/xpoN_mbctlrQAgRU06EPt.jpeg"
+
+# Apply custom CSS for the background image and overlay
+st.markdown(
+    f"""
+    <style>
+        .stApp {{
+            background-image: url("{background_image_url}");
+            background-size: cover;
+            background-position: center;
+            height: 100vh;
+        }}
+        
+        /* Semi-transparent overlay */
+        .stApp::before {{
+            content: "";
+            position: absolute;
+            top: 0;
+            left: 0;
+            width: 100%;
+            height: 100%;
+            background: rgba(0, 0, 0, 0.4);
+            z-index: -1;
+        }}
+        
+        /* Styling the content to ensure text visibility */
+        .stMarkdown {{
+            color: white;
+            font-size: 100px;
+        }}
+    </style>
+    """, 
+    unsafe_allow_html=True
+)
+
+
+if st.button("Previous ⏮️"):
+    st.switch_page("pages/0_Problem-Statement_and_Aim.py")
+if st.button("Next ⏭️"):
+    st.switch_page("pages/2_Data_CLeaning_and_Preprocessing.py")