Update app.py

app.py

@@ -2,45 +2,52 @@ import gradio as gr
 import numpy as np
 import matplotlib.pyplot as plt
 
-# Function to simulate blood glucose changes over time
-def predict_glucose(current_glucose, meal_type, meal_time_hr, meal_time_min, galvus_dose, galvus_time_hr, galvus_time_min, exercise_duration, fast_carbs_ml, prediction_time=3):
-    # Convert hours and minutes to total hours
-    meal_time = meal_time_hr + (meal_time_min / 60)
-    galvus_time = galvus_time_hr + (galvus_time_min / 60)
-    
-    # Constants for glucose reduction effects
-    post_meal_reduction = 63.6  # mg/dL (avg reduction for Vildagliptin in 2 hours)
-    fasting_reduction = 27.7  # mg/dL (avg reduction over 6-12 hours)
+# Function to simulate blood glucose changes
+def predict_glucose(current_glucose, meal_type, meal_time_hr, meal_time_min, galvus_dose, galvus_time_hr, galvus_time_min, exercise_duration, fast_carbs_ml):
+    # Convert time to total minutes
+    meal_time = meal_time_hr * 60 + meal_time_min
+    galvus_time = galvus_time_hr * 60 + galvus_time_min
+
+    # Constants for glucose changes
+    post_meal_reduction = 60  # mg/dL (avg reduction from Galvus over 2 hours)
+    fasting_reduction_rate = 0.48  # mg/dL per hour for first 3 hours fasting
+    fasting_reduction = fasting_reduction_rate * 3  # Total fasting drop in 3 hours (~1.44 mg/dL)
     
     # Adjust for fast carbs (milk, juice, etc.)
     carb_effect = fast_carbs_ml * 1.5  # Approximate glucose rise per mL of fast carbs
 
-    # Calculate blood glucose over time considering meal type, Galvus dose, and exercise
+    # Meal effect on glucose
     if meal_type == 'High-carb':
-        glucose_after_meal = current_glucose + carb_effect
+        glucose_after_meal = current_glucose + 50 + carb_effect  # High-carb spike
     elif meal_type == 'Protein-heavy':
-        glucose_after_meal = current_glucose + 20  # Small glucose increase due to protein
+        glucose_after_meal = current_glucose + 20  # Small rise due to protein
     elif meal_type == 'Low-carb':
-        glucose_after_meal = current_glucose - 10  # Small reduction due to low-carb meal
-    elif meal_type == 'Fast-carb':
-        glucose_after_meal = current_glucose + carb_effect * 1.2  # Fast carbs spike blood sugar
+        glucose_after_meal = current_glucose - 10  # Small reduction
+    elif meal_type == 'Fast carbs':
+        glucose_after_meal = current_glucose + carb_effect  # Fast carbs spike
+    else:
+        glucose_after_meal = current_glucose  # Normal meal
+
+    # Time since Galvus administration
+    time_since_galvus = (meal_time - galvus_time) / 60  # Convert back to hours
+
+    # Apply Galvus effect if taken more than 1 hour ago
+    if time_since_galvus >= 1:
+        glucose_3hr = glucose_after_meal - post_meal_reduction
     else:
-        glucose_after_meal = current_glucose  # Normal meal with moderate carbs
+        glucose_3hr = glucose_after_meal  # No Galvus effect yet
 
-    # Simulate blood glucose levels over 1 hour and 3 hours
-    glucose_1hr = glucose_after_meal - post_meal_reduction + carb_effect * 0.5  # Adjust for carb effect
-    glucose_3hr = glucose_1hr - fasting_reduction
+    # Apply fasting glucose reduction
+    glucose_3hr -= fasting_reduction
 
-    # Adjust the effects of Galvus based on its administration time (medication effect starts at galvus_time + 1-2 hours)
-    time_since_galvus = meal_time - galvus_time
-    if time_since_galvus >= 1:  # After 1 hour, the effects of Galvus start kicking in
-        glucose_3hr -= fasting_reduction  # Galvus effect after 3 hours
+    # Apply exercise effect
+    glucose_3hr -= exercise_duration * 2  # Exercise reduces ~2 mg/dL per minute
 
-    # Exercise effect on glucose (hypothetical value, may vary based on intensity)
-    glucose_3hr -= exercise_duration * 2  # Exercise reduces glucose by 2 mg/dL per minute
+    # Calculate 1-hour glucose level
+    glucose_1hr = (glucose_after_meal + glucose_3hr) / 2  # Approximate midpoint glucose level
 
-    # Plotting the graph of glucose prediction over time
-    time_points = [0, 1, 3]  # Time: 0 hours, 1 hour, 3 hours
+    # Plotting glucose changes
+    time_points = [0, 1, 3]  # Time: Now, 1 hour, 3 hours
     glucose_values = [current_glucose, glucose_1hr, glucose_3hr]
 
     plt.plot(time_points, glucose_values, marker='o', color='b')
@@ -51,40 +58,34 @@ def predict_glucose(current_glucose, meal_type, meal_time_hr, meal_time_min, gal
     plt.grid(True)
     plt.tight_layout()
 
-    # Save the graph as a file to show it in Gradio
+    # Save the graph
     plt.savefig('/tmp/blood_glucose_prediction.png')
     plt.close()
 
-    # Return glucose predictions and the image file path
     return glucose_1hr, glucose_3hr, '/tmp/blood_glucose_prediction.png'
 
-
 # Gradio Interface
 def build_interface():
     with gr.Blocks() as iface:
-        gr.Markdown("# Blood Glucose Prediction Model (With Vildagliptin Effects)")
+        gr.Markdown("# Blood Glucose Prediction Model (With Galvus & Fasting Effects)")
 
-        # Inputs for current glucose, meal info, medication dose, exercise, fast carbs, and Galvus time
         with gr.Row():
             current_glucose = gr.Number(label="Current Blood Glucose (mg/dL)", value=150)
-            meal_type = gr.Radio(choices=["Normal", "High-carb", "Protein-heavy", "Low-carb", "Fast-carb"], label="Meal Type", value="Normal")
+            meal_type = gr.Radio(choices=["Normal", "High-carb", "Protein-heavy", "Low-carb", "Fast carbs"], label="Meal Type", value="Normal")
             meal_time_hr = gr.Number(label="Last Meal Time (Hours)", value=2)
             meal_time_min = gr.Number(label="Last Meal Time (Minutes)", value=0)
             galvus_dose = gr.Number(label="Galvus Dose (mg)", value=50)
-            galvus_time_hr = gr.Number(label="Galvus Administration Time (Hours)", value=0)  
-            galvus_time_min = gr.Number(label="Galvus Administration Time (Minutes)", value=0)  
-            exercise_duration = gr.Number(label="Exercise Duration (min)", value=0)
+            galvus_time_hr = gr.Number(label="Galvus Time (Hours)", value=0)
+            galvus_time_min = gr.Number(label="Galvus Time (Minutes)", value=0)
+            exercise_duration = gr.Number(label="Exercise Duration (Minutes)", value=0)
             fast_carbs_ml = gr.Number(label="Fast Carbs (mL)", value=0)
 
-        # Output predictions and graph
         glucose_1hr_output = gr.Textbox(label="Predicted Glucose Level in 1 Hour (mg/dL)")
         glucose_3hr_output = gr.Textbox(label="Predicted Glucose Level in 3 Hours (mg/dL)")
         glucose_graph = gr.Image(label="Blood Glucose Prediction Graph")
 
-        # Button to trigger prediction
         predict_button = gr.Button("Predict Blood Glucose")
 
-        # Set button action
         predict_button.click(
             predict_glucose,
             inputs=[current_glucose, meal_type, meal_time_hr, meal_time_min, galvus_dose, galvus_time_hr, galvus_time_min, exercise_duration, fast_carbs_ml],
@@ -93,7 +94,5 @@ def build_interface():
 
     return iface
 
-
-# Build and launch the Gradio interface
 iface = build_interface()
 iface.launch()