Update app.py

app.py

@@ -3,11 +3,15 @@ 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, galvus_dose, galvus_time, exercise_duration, fast_carbs_ml, prediction_time=3):
+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, chocolate_time_min, prediction_time=3):
     # 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)
     
+    # Convert meal time and Galvus time to minutes for easier calculations
+    meal_time_total_min = meal_time_hr * 60 + meal_time_min
+    galvus_time_total_min = galvus_time_hr * 60 + galvus_time_min
+
     # Adjust for fast carbs (milk, juice, etc.)
     carb_effect = fast_carbs_ml * 1.5  # Approximate glucose rise per mL of fast carbs
 
@@ -18,21 +22,28 @@ def predict_glucose(current_glucose, meal_type, meal_time, galvus_dose, galvus_t
         glucose_after_meal = current_glucose + 20  # Small glucose increase 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  # Fast carbs like juice, milk increase glucose quickly
     else:
         glucose_after_meal = current_glucose  # Normal meal with moderate carbs
 
-    # Simulate blood glucose levels over 1 hour and 3 hours
+    # Calculate 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
 
     # 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
+    time_since_galvus = meal_time_total_min - galvus_time_total_min
+    if time_since_galvus >= 60:  # After 1 hour, the effects of Galvus start kicking in
         glucose_3hr -= fasting_reduction  # Galvus effect after 3 hours
 
     # 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
 
+    # Chocolate bar effect
+    if chocolate_time_min <= 60:  # If the chocolate bar is eaten within 1 hour
+        glucose_1hr += 40  # Approximate glucose rise from chocolate
+        glucose_3hr += 30  # This would still contribute to an increase at 3 hours
+
     # Plotting the graph of glucose prediction over time
     time_points = [0, 1, 3]  # Time: 0 hours, 1 hour, 3 hours
     glucose_values = [current_glucose, glucose_1hr, glucose_3hr]
@@ -61,12 +72,15 @@ def build_interface():
         # 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=105)
-            meal_type = gr.Radio(choices=["Normal", "High-carb", "Protein-heavy", "Low-carb"], label="Meal Type", value="Low-carb")
-            meal_time = gr.Number(label="Last Meal Time (in hours)", value=6)
+            meal_type = gr.Radio(choices=["Normal", "High-carb", "Protein-heavy", "Low-carb", "Fast carb"], label="Meal Type", value="Low-carb")
+            meal_time_hr = gr.Number(label="Last Meal Time (hours)", value=6)
+            meal_time_min = gr.Number(label="Last Meal Time (minutes)", value=0)
             galvus_dose = gr.Number(label="Galvus Dose (mg)", value=50)
-            galvus_time = gr.Number(label="Galvus Time of Administration (hours)", value=2)  # Input for when Galvus was taken
+            galvus_time_hr = gr.Number(label="Galvus Time of Administration (hours)", value=2)
+            galvus_time_min = gr.Number(label="Galvus Time of Administration (minutes)", value=0)
             exercise_duration = gr.Number(label="Exercise Duration (min)", value=60)
             fast_carbs_ml = gr.Number(label="Fast Carbs (mL)", value=0)
+            chocolate_time_min = gr.Number(label="Time After Meal When Chocolate Bar Is Eaten (min)", value=60)
 
         # Output predictions and graph
         glucose_1hr_output = gr.Textbox(label="Predicted Glucose Level in 1 Hour (mg/dL)")
@@ -79,7 +93,7 @@ def build_interface():
         # Set button action
         predict_button.click(
             predict_glucose,
-            inputs=[current_glucose, meal_type, meal_time, galvus_dose, galvus_time, exercise_duration, fast_carbs_ml],
+            inputs=[current_glucose, meal_type, meal_time_hr, meal_time_min, galvus_dose, galvus_time_hr, galvus_time_min, exercise_duration, fast_carbs_ml, chocolate_time_min],
             outputs=[glucose_1hr_output, glucose_3hr_output, glucose_graph]
         )