Update pages/Life_cycle_of_ML.py

pages/Life_cycle_of_ML.py

@@ -1,58 +1,91 @@
-## Shapes Representing the ML Life Cycle
+import streamlit as st
 
-<svg width="600" height="300">
-  <!-- Problem Definition (Rectangle) -->
-  <rect x="50" y="50" width="150" height="50" fill="#FFB6C1" stroke="#000" />
-  <text x="75" y="80" fill="#000" font-size="14">Problem Definition</text>
-  
-  <!-- Data Collection (Circle) -->
-  <circle cx="300" cy="75" r="40" fill="#ADD8E6" stroke="#000" />
-  <text x="270" y="80" fill="#000" font-size="14">Data Collection</text>
-  
-  <!-- Data Preprocessing (Ellipse) -->
-  <ellipse cx="500" cy="75" rx="80" ry="40" fill="#90EE90" stroke="#000" />
-  <text x="445" y="80" fill="#000" font-size="14">Data Preprocessing</text>
-  
-  <!-- Arrows between Problem Definition and Data Collection -->
-  <line x1="200" y1="75" x2="260" y2="75" stroke="#000" marker-end="url(#arrow)" />
-  
-  <!-- Model Building (Rectangle) -->
-  <rect x="50" y="200" width="150" height="50" fill="#FFD700" stroke="#000" />
-  <text x="75" y="230" fill="#000" font-size="14">Model Building</text>
-  
-  <!-- Evaluation (Circle) -->
-  <circle cx="300" cy="225" r="40" fill="#FF7F50" stroke="#000" />
-  <text x="275" y="230" fill="#000" font-size="14">Evaluation</text>
-  
-  <!-- Deployment (Rectangle) -->
-  <rect x="450" y="200" width="150" height="50" fill="#9370DB" stroke="#000" />
-  <text x="475" y="230" fill="#000" font-size="14">Deployment</text>
-  
-  <!-- Arrows between Model Building, Evaluation, and Deployment -->
-  <line x1="125" y1="250" x2="260" y2="225" stroke="#000" marker-end="url(#arrow)" />
-  <line x1="340" y1="225" x2="450" y2="225" stroke="#000" marker-end="url(#arrow)" />
-  
-  <!-- Define arrow marker -->
-  <defs>
-    <marker id="arrow" viewBox="0 0 10 10" refX="5" refY="5" markerWidth="4" markerHeight="4" orient="auto">
-      <polygon points="0,0 10,5 0,10" fill="#000" />
-    </marker>
-  </defs>
+# HTML content for the ML life cycle diagram
+html_content = """
+<h2 style="text-align: center;">Life Cycle of Machine Learning</h2>
+
+<svg width="800" height="650">
+    <!-- Problem Statement -->
+    <rect x="50" y="50" width="200" height="50" fill="#FFB6C1" stroke="#000" />
+    <text x="150" y="80" fill="#000" font-size="14" text-anchor="middle">Problem Statement</text>
+    
+    <!-- Data Collection -->
+    <circle cx="400" cy="75" r="50" fill="#ADD8E6" stroke="#000" />
+    <text x="400" y="80" fill="#000" font-size="14" text-anchor="middle">Data Collection</text>
+    
+    <!-- Simple EDA -->
+    <ellipse cx="700" cy="75" rx="100" ry="50" fill="#90EE90" stroke="#000" />
+    <text x="700" y="80" fill="#000" font-size="14" text-anchor="middle">Simple EDA</text>
+    
+    <!-- Data Preprocessing -->
+    <rect x="50" y="200" width="200" height="50" fill="#FFD700" stroke="#000" />
+    <text x="150" y="230" fill="#000" font-size="14" text-anchor="middle">Data Preprocessing</text>
+    
+    <!-- EDA -->
+    <circle cx="400" cy="225" r="50" fill="#FF7F50" stroke="#000" />
+    <text x="400" y="230" fill="#000" font-size="14" text-anchor="middle">EDA</text>
+    
+    <!-- Feature Engineering -->
+    <ellipse cx="700" cy="225" rx="100" ry="50" fill="#9370DB" stroke="#000" />
+    <text x="700" y="230" fill="#000" font-size="14" text-anchor="middle">Feature Engineering</text>
+    
+    <!-- Training -->
+    <rect x="50" y="350" width="200" height="50" fill="#FF6347" stroke="#000" />
+    <text x="150" y="380" fill="#000" font-size="14" text-anchor="middle">Training</text>
+    
+    <!-- Testing -->
+    <circle cx="400" cy="375" r="50" fill="#98FB98" stroke="#000" />
+    <text x="400" y="380" fill="#000" font-size="14" text-anchor="middle">Testing</text>
+    
+    <!-- Deploying -->
+    <ellipse cx="700" cy="375" rx="100" ry="50" fill="#F0E68C" stroke="#000" />
+    <text x="700" y="380" fill="#000" font-size="14" text-anchor="middle">Deploying</text>
+    
+    <!-- Monitoring -->
+    <rect x="350" y="500" width="200" height="50" fill="#B0E0E6" stroke="#000" />
+    <text x="450" y="530" fill="#000" font-size="14" text-anchor="middle">Monitoring</text>
+    
+    <!-- Arrows -->
+    <line x1="250" y1="75" x2="350" y2="75" stroke="#000" marker-end="url(#arrow)" />
+    <line x1="450" y1="75" x2="600" y2="75" stroke="#000" marker-end="url(#arrow)" />
+    <line x1="250" y1="225" x2="350" y2="225" stroke="#000" marker-end="url(#arrow)" />
+    <line x1="450" y1="225" x2="600" y2="225" stroke="#000" marker-end="url(#arrow)" />
+    <line x1="250" y1="375" x2="350" y2="375" stroke="#000" marker-end="url(#arrow)" />
+    <line x1="450" y1="375" x2="600" y2="375" stroke="#000" marker-end="url(#arrow)" />
+    <line x1="600" y1="375" x2="450" y2="500" stroke="#000" marker-end="url(#arrow)" />
+    
+    <!-- Define arrow marker -->
+    <defs>
+        <marker id="arrow" viewBox="0 0 10 10" refX="5" refY="5" markerWidth="4" markerHeight="4" orient="auto">
+            <polygon points="0,0 10,5 0,10" fill="#000" />
+        </marker>
+    </defs>
 </svg>
 """
-# Render HTML content in Streamlit
-st.markdown(html_content, unsafe_allow_html=True)
-# Render the SVG
+
+# Display the diagram
 st.markdown(html_content, unsafe_allow_html=True)
-# Interactive buttons for stages
-st.subheader("Stages in ML Life Cycle")
+
+# Add buttons for interaction
+st.subheader("Interactive ML Life Cycle")
+
 if st.button("Problem Statement"):
+    st.write("Understanding the problem and setting objectives for the ML model.")
 if st.button("Data Collection"):
+    st.write("Gathering relevant data for model training.")
 if st.button("Simple EDA"):
+    st.write("Initial analysis to understand the dataset's basic properties.")
 if st.button("Data Preprocessing"):
+    st.write("Cleaning the data to ensure it's in a usable format.")
 if st.button("EDA"):
+    st.write("Deeper analysis to gain insights and find patterns in the data.")
 if st.button("Feature Engineering"):
+    st.write("Creating new features or modifying existing ones to improve model performance.")
 if st.button("Training"):
+    st.write("Training machine learning models using the processed data.")
 if st.button("Testing"):
+    st.write("Evaluating the trained model using a test set to assess its performance.")
 if st.button("Deploying"):
+    st.write("Deploying the model to a production environment.")
 if st.button("Monitoring"):
+    st.write("Continuously monitoring the model's performance in the production environment.")