Upload 3 files

app.py

@@ -32,7 +32,22 @@ def generate_smart_plan(wake_time, swim_time, swim_duration, gym_today, sleep_ho
         plan.append("💪 No gym — light stretching and mobility recommended.")
     plan.append("🍽️ Eat protein + carbs within 30 minutes post-swim.")
     plan.append("🌙 Target 8–9 hours of sleep tonight.")
-    return "\n".join(plan)
+    \
+    timeline = []
+    timeline.append(f"⏰ {wake_time} - Wake Up + Hydrate")
+    try:
+        swim_hour, swim_min = map(int, swim_time.split(":"))
+        swim_end_hour = swim_hour + swim_duration // 60
+        swim_end_min = (swim_min + swim_duration % 60) % 60
+        timeline.append(f"🏊 {swim_time} - Swim Practice ({swim_duration} min)")
+        timeline.append(f"🥤 {swim_end_hour:02}:{swim_end_min:02} - Post-swim Nutrition")
+    except:
+        timeline.append("❓ Unable to parse swim time — add manually to your calendar.")
+
+    timeline.append("💪 Gym: Today" if gym_today else "🧘 Active Recovery: Mobility/Stretching")
+    timeline.append("🛌 Bedtime: Aim for 8–9 hours of sleep")
+
+    return "\n".join(plan) + "\n\n🕒 Sample Timeline:\n" + "\n".join(timeline)
 
 # --------- Food Macro Estimator + GPT ---------
 food_classes = ["pizza", "salad", "burger", "sushi", "spaghetti", "steak", "pancakes"]

progress_data.json

@@ -0,0 +1,7 @@
+{
+  "50 Free PB": null,
+  "100 Fly PB": null,
+  "Training Streak": 0,
+  "Last Update": null,
+  "Gym PR": null
+}

requirements.txt

@@ -5,4 +5,4 @@ opencv-python
 mediapipe
 pillow
 numpy
-openai
+openai==0.28