Update app.py

app.py

@@ -3,7 +3,11 @@ 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, 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)
@@ -18,8 +22,8 @@ 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  # For fast carbs like milk/juice
+    elif meal_type == 'Fast-carb':
+        glucose_after_meal = current_glucose + carb_effect * 1.2  # Fast carbs spike blood sugar
     else:
         glucose_after_meal = current_glucose  # Normal meal with moderate carbs
 
@@ -63,10 +67,12 @@ 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=150)
-            meal_type = gr.Radio(choices=["Normal", "High-carb", "Protein-heavy", "Low-carb", "Fast carb"], label="Meal Type", value="Normal")
-            meal_time = gr.Number(label="Last Meal Time (in hours)", value=2)
+            meal_type = gr.Radio(choices=["Normal", "High-carb", "Protein-heavy", "Low-carb", "Fast-carb"], 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 = gr.Number(label="Galvus Time of Administration (hours)", value=0)  # Input for when Galvus was taken
+            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)
             fast_carbs_ml = gr.Number(label="Fast Carbs (mL)", value=0)
 
@@ -81,7 +87,7 @@ 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],
             outputs=[glucose_1hr_output, glucose_3hr_output, glucose_graph]
         )