Update app.py

app.py

@@ -24,8 +24,6 @@ LEVEL_CONFIG = {
     "Advanced": {"tier": 2}
 }
 
-# EXERCISE DATABASE with Base Strength Ratios
-# Ratio 1.0 means an intermediate male can lift 100% of his bodyweight in this exercise.
 EXERCISE_DB = {
     "Chest": [
         {"name": "Barbell Bench Press", "equip": ["Barbell", "Gym"], "bad": ["Shoulder"], "level": 1, "ratio": 0.9},
@@ -91,27 +89,22 @@ EXERCISE_DB = {
 # ==========================================
 
 def calculate_weight(base_ratio, user_weight, gender, level_tier, muscle_group):
-    """
-    Calculates precise weight based on Gender Physiology.
-    """
     if base_ratio == 0: return "Bodyweight"
     
     load = user_weight * base_ratio
     
-    # 1. Gender Adjustment (The Science)
+    # Gender Logic
     if gender == "Female":
-        # Women are relatively stronger in lower body than upper body
         if muscle_group in ["Legs", "Core"]:
-            load *= 0.75  # Stronger legs
+            load *= 0.75
         else:
-            load *= 0.55  # Weaker upper body push/pull relative to men
+            load *= 0.55
     
-    # 2. Level Adjustment
-    if level_tier == 0: load *= 0.6   # Beginner
-    if level_tier == 2: load *= 1.3   # Advanced
+    # Level Logic
+    if level_tier == 0: load *= 0.6
+    if level_tier == 2: load *= 1.3
     
-    # 3. Smart Rounding
-    # Round to nearest 2.5kg (plate size) or 1kg (dumbbell size)
+    # Rounding
     if load < 10:
         final_load = round(load)
     else:
@@ -120,7 +113,6 @@ def calculate_weight(base_ratio, user_weight, gender, level_tier, muscle_group):
     return f"{int(final_load)} kg"
 
 def get_exercises(muscle, equipment, injury, level_tier, count=1):
-    # Filter available gear
     my_gear = []
     if equipment == "Gym Membership": my_gear = ["Gym", "Barbell", "Dumbbells", "Bodyweight"]
     elif equipment == "Full Home Gym (Rack+Barbell)": my_gear = ["Barbell", "Dumbbells", "Bodyweight"]
@@ -131,14 +123,11 @@ def get_exercises(muscle, equipment, injury, level_tier, count=1):
     valid = []
     
     for ex in pool:
-        # Filter Logic
         if not any(g in my_gear for g in ex["equip"]): continue
         if injury in ex["bad"]: continue
         if level_tier < ex["level"]: continue
-        
         valid.append(ex)
     
-    # SHUFFLE to ensure variety every time
     random.shuffle(valid)
     
     if not valid: return [{"name": f"Standard {muscle} Move", "ratio": 0}]
@@ -146,11 +135,9 @@ def get_exercises(muscle, equipment, injury, level_tier, count=1):
 
 def generate_routine(plan_name, age, gender, weight, goal, equipment, injury, experience):
     
-    # Configs
     goal_settings = GOAL_CONFIG[goal]
     level_tier = LEVEL_CONFIG[experience]["tier"]
     
-    # Structure based on Plan Category
     slots = []
     if "Upper" in plan_name or "Push" in plan_name:
         slots = ["Chest", "Back", "Shoulders", "Arms", "Core"]
@@ -162,7 +149,6 @@ def generate_routine(plan_name, age, gender, weight, goal, equipment, injury, ex
         slots = ["Legs", "Chest", "Back", "Shoulders", "Core"]
         title = "Full Body Mix"
 
-    # Build Text
     text = f"WORKOUT PLAN: {title}\n"
     text += f"User: {age}y | {gender} | {weight}kg | {experience}\n"
     text += f"Goal: {goal} | Equip: {equipment}\n"
@@ -178,10 +164,7 @@ def generate_routine(plan_name, age, gender, weight, goal, equipment, injury, ex
     used_names = []
     
     for i, muscle in enumerate(slots):
-        # Fetch exercise
         candidates = get_exercises(muscle, equipment, injury, level_tier, count=3)
-        
-        # Pick unique
         selected = candidates[0]
         for cand in candidates:
             if cand['name'] not in used_names:
@@ -189,7 +172,6 @@ def generate_routine(plan_name, age, gender, weight, goal, equipment, injury, ex
                 break
         used_names.append(selected['name'])
         
-        # Calculate Load
         load = calculate_weight(selected['ratio'], weight, gender, level_tier, muscle)
         
         text += f"{i+1}. {selected['name']} ({muscle})\n"
@@ -235,6 +217,19 @@ iface = gr.Interface(
     ],
     title="SmartFit AI - Biological Engine",
     description="Advanced generator with gender-specific strength standards.",
+    # ======================================================
+    # THIS IS THE NEW PART - THE 3 QUICK STARTERS
+    # ======================================================
+    examples=[
+        # Example 1: The Bodybuilder (Young Male, Gym, No Injury)
+        [24, "Male", 80, 180, "Muscle Gain", "Gym Membership", "None", "Advanced"],
+        
+        # Example 2: The Rehab/Home User (Female, Knee Injury, Home)
+        [35, "Female", 65, 165, "Weight Loss", "Home Dumbbells", "Knee", "Beginner"],
+        
+        # Example 3: The Senior Health (Older Male, Bodyweight, Back safe)
+        [60, "Male", 85, 175, "General Health", "Bodyweight Only", "Back", "Beginner"]
+    ],
     theme="soft"
 )