Create app.py

app.py

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+import gradio as gr
+import numpy as np
+
+# Prediction function
+def predict_glucose(current_glucose, meal_type, carbs, exercise, sleep_hours, medication):
+    # Define risk factors for hypoglycemia/hyperglycemia
+    risk_score = 0
+
+    # Carbohydrates effect
+    if carbs < 20:
+        risk_score -= 1  # Risk of hypoglycemia
+    elif carbs > 100:
+        risk_score += 1  # Risk of hyperglycemia
+
+    # Exercise effect
+    if exercise > 30:
+        risk_score -= 1  # More exercise may lower glucose
+
+    # Sleep effect
+    if sleep_hours < 4:
+        risk_score += 1  # Poor sleep can increase glucose
+
+    # Medication effect
+    if medication == "Insulin" or medication == "Sulfonylurea":
+        risk_score -= 2  # These medications increase hypoglycemia risk
+
+    # Estimate next glucose level
+    predicted_glucose = current_glucose + (risk_score * 10)
+    predicted_glucose = max(40, min(300, predicted_glucose))  # Keep within realistic limits
+
+    # Return prediction
+    if predicted_glucose < 70:
+        status = "⚠️ Risk of Hypoglycemia"
+    elif predicted_glucose > 180:
+        status = "⚠️ Risk of Hyperglycemia"
+    else:
+        status = "✅ Normal Range"
+
+    return f"Predicted Glucose: {predicted_glucose} mg/dL\n{status}"
+
+# Define Gradio interface
+iface = gr.Interface(
+    fn=predict_glucose,
+    inputs=[
+        gr.Number(label="Current Blood Glucose (mg/dL)", value=100),
+        gr.Dropdown(["Breakfast", "Lunch", "Dinner", "Snack"], label="Meal Type"),
+        gr.Number(label="Carbohydrates (grams)", value=50),
+        gr.Number(label="Exercise (minutes)", value=0),
+        gr.Number(label="Sleep (hours)", value=7),
+        gr.Dropdown(["None", "Metformin", "Insulin", "Sulfonylurea"], label="Medication"),
+    ],
+    outputs="text",
+    title="Blood Glucose Prediction",
+    description="Enter your current glucose, meal, and lifestyle details to predict your future blood sugar level."
+)
+
+# Run app
+if __name__ == "__main__":
+    iface.launch()