Update pages/Life cycle of ML.py

pages/Life cycle of ML.py

@@ -0,0 +1,164 @@
+import streamlit as st
+
+# Custom CSS styling
+def add_custom_css():
+    st.markdown(
+        """
+        <style>
+        body {
+            font-family: 'Arial', sans-serif;
+            background-color: #f7f9fc;
+        }
+        .title {
+            text-align: center;
+            font-size: 2.5rem;
+            color: #1f77b4;
+            font-weight: bold;
+            margin-bottom: 20px;
+        }
+        .subtitle {
+            text-align: center;
+            font-size: 1.5rem;
+            color: #555555;
+            margin-top: -15px;
+            margin-bottom: 30px;
+        }
+        .button-container {
+            display: flex;
+            justify-content: space-evenly;
+            margin: 20px 0;
+        }
+        .stage-button {
+            background-color: #1f77b4;
+            color: white;
+            border: none;
+            border-radius: 8px;
+            padding: 10px 20px;
+            font-size: 1.2rem;
+            cursor: pointer;
+            text-transform: uppercase;
+            transition: background-color 0.3s ease;
+        }
+        .stage-button:hover {
+            background-color: #145a86;
+        }
+        .back-button {
+            background-color: #ff6347;
+            color: white;
+            border: none;
+            border-radius: 8px;
+            padding: 10px 20px;
+            font-size: 1rem;
+            cursor: pointer;
+            margin-top: 20px;
+            transition: background-color 0.3s ease;
+        }
+        .back-button:hover {
+            background-color: #d9534f;
+        }
+        </style>
+        """,
+        unsafe_allow_html=True,
+    )
+
+# Functions for each page
+def home_page():
+    st.markdown("<div class='title'>Machine Learning Lifecycle</div>", unsafe_allow_html=True)
+    st.markdown("<div class='subtitle'>Explore the stages of an ML project!</div>", unsafe_allow_html=True)
+
+    st.image("https://via.placeholder.com/800x400?text=ML+Lifecycle", caption="Visual Representation of ML Lifecycle")
+
+    st.markdown(
+        """
+        <div class="button-container">
+            <button class="stage-button" onclick="location.href='?page=problem_definition'">1. Problem Definition</button>
+            <button class="stage-button" onclick="location.href='?page=data_collection'">2. Data Collection</button>
+            <button class="stage-button" onclick="location.href='?page=data_preparation'">3. Data Preparation</button>
+        </div>
+        <div class="button-container">
+            <button class="stage-button" onclick="location.href='?page=modeling'">4. Modeling</button>
+            <button class="stage-button" onclick="location.href='?page=evaluation'">5. Evaluation</button>
+            <button class="stage-button" onclick="location.href='?page=deployment'">6. Deployment</button>
+        </div>
+        """,
+        unsafe_allow_html=True,
+    )
+
+def problem_definition_page():
+    st.markdown("<div class='title'>🎯 Problem Definition</div>", unsafe_allow_html=True)
+    st.write("Define the problem your machine learning model aims to solve.")
+    st.image("https://via.placeholder.com/600x300?text=Define+Problem", caption="Example: Problem Definition")
+    st.markdown(
+        "<button class='back-button' onclick=\"location.href='?page=home'\">Back to Home</button>",
+        unsafe_allow_html=True,
+    )
+
+def data_collection_page():
+    st.markdown("<div class='title'>📊 Data Collection</div>", unsafe_allow_html=True)
+    st.write("Gather data relevant to the problem and verify data sources.")
+    st.image("https://via.placeholder.com/600x300?text=Data+Collection", caption="Data Sources Overview")
+    st.markdown(
+        "<button class='back-button' onclick=\"location.href='?page=home'\">Back to Home</button>",
+        unsafe_allow_html=True,
+    )
+
+def data_preparation_page():
+    st.markdown("<div class='title'>🔄 Data Preparation</div>", unsafe_allow_html=True)
+    st.write("Preprocess, clean, and split the data into train, validation, and test sets.")
+    st.image("https://via.placeholder.com/600x300?text=Data+Preparation", caption="Data Preparation Overview")
+    st.markdown(
+        "<button class='back-button' onclick=\"location.href='?page=home'\">Back to Home</button>",
+        unsafe_allow_html=True,
+    )
+
+def modeling_page():
+    st.markdown("<div class='title'>🤖 Modeling</div>", unsafe_allow_html=True)
+    st.write("Train machine learning models and tune hyperparameters.")
+    st.image("https://via.placeholder.com/600x300?text=Modeling", caption="Model Training Visualization")
+    st.markdown(
+        "<button class='back-button' onclick=\"location.href='?page=home'\">Back to Home</button>",
+        unsafe_allow_html=True,
+    )
+
+def evaluation_page():
+    st.markdown("<div class='title'>✅ Evaluation</div>", unsafe_allow_html=True)
+    st.write("Evaluate model performance using standard metrics.")
+    st.image("https://via.placeholder.com/600x300?text=Evaluation", caption="Evaluation Metrics Overview")
+    st.markdown(
+        "<button class='back-button' onclick=\"location.href='?page=home'\">Back to Home</button>",
+        unsafe_allow_html=True,
+    )
+
+def deployment_page():
+    st.markdown("<div class='title'>🚀 Deployment</div>", unsafe_allow_html=True)
+    st.write("Deploy your model for real-world use.")
+    st.image("https://via.placeholder.com/600x300?text=Deployment+Pipeline", caption="Deployment Pipeline")
+    st.markdown(
+        "<button class='back-button' onclick=\"location.href='?page=home'\">Back to Home</button>",
+        unsafe_allow_html=True,
+    )
+
+def main():
+    add_custom_css()
+    query_params = st.experimental_get_query_params()
+    page = query_params.get("page", ["home"])[0]
+
+    if page == "home":
+        home_page()
+    elif page == "problem_definition":
+        problem_definition_page()
+    elif page == "data_collection":
+        data_collection_page()
+    elif page == "data_preparation":
+        data_preparation_page()
+    elif page == "modeling":
+        modeling_page()
+    elif page == "evaluation":
+        evaluation_page()
+    elif page == "deployment":
+        deployment_page()
+    else:
+        st.error("Page not found!")
+
+if __name__ == "__main__":
+    main()