Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+
+# Function to simulate WBC activity over time
+def simulate_wbc_activity(days):
+    # Creating a simple simulation for WBC activity
+    # This can be replaced with more complex logic based on real data
+    neutrophils = np.random.normal(20, 5, days).clip(0, 50)
+    lymphocytes = np.random.normal(15, 4, days).clip(0, 40)
+    monocytes = np.random.normal(10, 3, days).clip(0, 30)
+    eosinophils = np.random.normal(5, 2, days).clip(0, 20)
+    return pd.DataFrame({
+        "Day": range(1, days + 1),
+        "Neutrophils": neutrophils,
+        "Lymphocytes": lymphocytes,
+        "Monocytes": monocytes,
+        "Eosinophils": eosinophils
+    })
+
+# Streamlit UI
+st.title("WBC Simulation in Post-Surgery Hematoma and Infection")
+
+st.markdown("""
+    ## Understanding White Blood Cells (WBC)
+    In the event of a hematoma and infection post-surgery, different types of WBCs play crucial roles.
+    - **Neutrophils 🧦**: First responders to infection sites.
+    - **Lymphocytes 🧡**: Provide long-term immunity.
+    - **Monocytes 🧜**: Transform into macrophages to engulf pathogens.
+    - **Eosinophils 🧝**: Combat multicellular parasites and allergic reactions.
+""")
+
+# User input for simulation days
+days = st.slider("Select number of days for the simulation", 1, 30, 7)
+
+# Simulating WBC activity
+wbc_data = simulate_wbc_activity(days)
+
+# Plotting the WBC activity
+st.line_chart(wbc_data.set_index("Day"))
+
+st.markdown("""
+    ## Simulation Insights
+    The graph above simulates the activity of different WBC types over time post-surgery.
+    - **Peak in Neutrophils**: Indicates the body's immediate response to infection.
+    - **Lymphocytes Trend**: Shows the development of immunity over time.
+    - **Monocytes and Eosinophils**: Fluctuate based on the severity of the infection and allergic reactions.
+""")
+
+st.markdown("""
+    ### Note
+    This is a simplified simulation intended for educational purposes and does not represent actual medical data.
+""")