SmartFit_App / app.py
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import gradio as gr
import joblib
import pandas as pd
import random
# 1. Load Model
model = joblib.load('fitness_model.joblib')
# ==========================================
# CONFIG DICTIONARIES
# ==========================================
GOAL_CONFIG = {
"Strength": {"sets": 5, "reps": "3-5", "rest": "3 min", "intensity": "Heavy"},
"Muscle Gain": {"sets": 3, "reps": "8-12", "rest": "90 sec", "intensity": "Moderate"},
"Weight Loss": {"sets": 4, "reps": "15-20", "rest": "45 sec", "intensity": "High Tempo"},
"Endurance": {"sets": 2, "reps": "20-25", "rest": "30 sec", "intensity": "Light"},
"General Health": {"sets": 3, "reps": "12-15", "rest": "60 sec", "intensity": "Moderate"}
}
LEVEL_CONFIG = {
"Beginner": {"tier": 0},
"Intermediate": {"tier": 1},
"Advanced": {"tier": 2}
}
EXERCISE_DB = {
"Chest": [
{"name": "Barbell Bench Press", "equip": ["Barbell", "Gym"], "bad": ["Shoulder"], "level": 1, "ratio": 0.9},
{"name": "Dumbbell Chest Press", "equip": ["Dumbbells", "Gym"], "bad": [], "level": 0, "ratio": 0.35},
{"name": "Incline Dumbbell Press", "equip": ["Dumbbells", "Gym"], "bad": ["Shoulder"], "level": 1, "ratio": 0.3},
{"name": "Machine Chest Press", "equip": ["Gym"], "bad": [], "level": 0, "ratio": 0.6},
{"name": "Push-ups", "equip": ["Bodyweight"], "bad": ["Wrist"], "level": 0, "ratio": 0},
{"name": "Cable Flys", "equip": ["Gym"], "bad": [], "level": 1, "ratio": 0.15},
{"name": "Dumbbell Flys", "equip": ["Dumbbells"], "bad": ["Shoulder"], "level": 0, "ratio": 0.12},
{"name": "Weighted Dips", "equip": ["Gym"], "bad": ["Shoulder"], "level": 2, "ratio": 0},
],
"Back": [
{"name": "Deadlift", "equip": ["Barbell", "Gym"], "bad": ["Back"], "level": 2, "ratio": 1.4},
{"name": "Lat Pulldown", "equip": ["Gym"], "bad": [], "level": 0, "ratio": 0.6},
{"name": "Seated Cable Row", "equip": ["Gym"], "bad": ["Back"], "level": 0, "ratio": 0.6},
{"name": "Barbell Bent Over Row", "equip": ["Barbell", "Gym"], "bad": ["Back"], "level": 1, "ratio": 0.7},
{"name": "Single Arm Dumbbell Row", "equip": ["Dumbbells", "Gym"], "bad": [], "level": 0, "ratio": 0.3},
{"name": "Pull-ups", "equip": ["Bodyweight", "Gym"], "bad": ["Shoulder"], "level": 1, "ratio": 0},
{"name": "Chest Supported Row", "equip": ["Gym"], "bad": [], "level": 0, "ratio": 0.5},
{"name": "Inverted Row", "equip": ["Bodyweight"], "bad": [], "level": 0, "ratio": 0},
],
"Legs": [
{"name": "Barbell Squat", "equip": ["Barbell", "Gym"], "bad": ["Back", "Knee"], "level": 2, "ratio": 1.1},
{"name": "Leg Press", "equip": ["Gym"], "bad": [], "level": 0, "ratio": 1.8},
{"name": "Goblet Squat", "equip": ["Dumbbells", "Gym"], "bad": ["Knee"], "level": 0, "ratio": 0.4},
{"name": "Walking Lunges", "equip": ["Dumbbells", "Bodyweight"], "bad": ["Knee"], "level": 1, "ratio": 0.15},
{"name": "Romanian Deadlift", "equip": ["Barbell", "Dumbbells"], "bad": ["Back"], "level": 1, "ratio": 0.8},
{"name": "Lying Leg Curl", "equip": ["Gym"], "bad": [], "level": 0, "ratio": 0.35},
{"name": "Leg Extensions", "equip": ["Gym"], "bad": ["Knee"], "level": 0, "ratio": 0.35},
{"name": "Bulgarian Split Squat", "equip": ["Dumbbells"], "bad": ["Knee"], "level": 2, "ratio": 0.2},
{"name": "Glute Bridges", "equip": ["Bodyweight"], "bad": [], "level": 0, "ratio": 0},
],
"Shoulders": [
{"name": "Overhead Barbell Press", "equip": ["Barbell", "Gym"], "bad": ["Shoulder", "Back"], "level": 2, "ratio": 0.5},
{"name": "Seated Dumbbell Press", "equip": ["Dumbbells", "Gym"], "bad": ["Shoulder"], "level": 0, "ratio": 0.25},
{"name": "Lateral Raises", "equip": ["Dumbbells", "Gym"], "bad": [], "level": 0, "ratio": 0.08},
{"name": "Face Pulls", "equip": ["Gym"], "bad": [], "level": 0, "ratio": 0.2},
{"name": "Front Raises", "equip": ["Dumbbells"], "bad": [], "level": 0, "ratio": 0.08},
],
"Arms": [
{"name": "Barbell Curls", "equip": ["Barbell", "Gym"], "bad": ["Wrist"], "level": 0, "ratio": 0.25},
{"name": "Dumbbell Hammer Curls", "equip": ["Dumbbells", "Gym"], "bad": [], "level": 0, "ratio": 0.12},
{"name": "Tricep Rope Pushdown", "equip": ["Gym"], "bad": [], "level": 0, "ratio": 0.25},
{"name": "Skullcrushers", "equip": ["Barbell", "Dumbbells"], "bad": ["Elbow"], "level": 1, "ratio": 0.2},
{"name": "Dips", "equip": ["Bodyweight"], "bad": ["Shoulder"], "level": 1, "ratio": 0},
],
"Core": [
{"name": "Plank", "equip": ["Bodyweight"], "bad": [], "level": 0, "ratio": 0},
{"name": "Cable Woodchoppers", "equip": ["Gym"], "bad": ["Back"], "level": 1, "ratio": 0.3},
{"name": "Russian Twists", "equip": ["Bodyweight"], "bad": ["Back"], "level": 0, "ratio": 0},
{"name": "Hanging Leg Raises", "equip": ["Gym"], "bad": ["Shoulder"], "level": 2, "ratio": 0},
],
"Cardio": [
{"name": "Treadmill Run", "equip": ["Gym"], "bad": ["Knee"], "level": 0, "ratio": 0},
{"name": "Elliptical", "equip": ["Gym"], "bad": [], "level": 0, "ratio": 0},
{"name": "Burpees", "equip": ["Bodyweight"], "bad": ["Back", "Knee"], "level": 2, "ratio": 0},
{"name": "Jump Rope", "equip": ["Bodyweight"], "bad": ["Knee", "Ankle"], "level": 1, "ratio": 0},
]
}
# ==========================================
# LOGIC ENGINE (CALCULATOR)
# ==========================================
def calculate_weight(base_ratio, user_weight, gender, level_tier, muscle_group):
if base_ratio == 0: return "Bodyweight"
load = user_weight * base_ratio
# Gender Logic
if gender == "Female":
if muscle_group in ["Legs", "Core"]:
load *= 0.75
else:
load *= 0.55
# Level Logic
if level_tier == 0: load *= 0.6
if level_tier == 2: load *= 1.3
# Rounding
if load < 10:
final_load = round(load)
else:
final_load = 2.5 * round(load / 2.5)
return f"{int(final_load)} kg"
def get_exercises(muscle, equipment, injury, level_tier, count=1):
my_gear = []
if equipment == "Gym Membership": my_gear = ["Gym", "Barbell", "Dumbbells", "Bodyweight"]
elif equipment == "Full Home Gym (Rack+Barbell)": my_gear = ["Barbell", "Dumbbells", "Bodyweight"]
elif equipment == "Home Dumbbells": my_gear = ["Dumbbells", "Bodyweight"]
else: my_gear = ["Bodyweight"]
pool = EXERCISE_DB.get(muscle, [])
valid = []
for ex in pool:
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)
random.shuffle(valid)
if not valid: return [{"name": f"Standard {muscle} Move", "ratio": 0}]
return valid[:count]
def generate_routine(plan_name, age, gender, weight, goal, equipment, injury, experience):
goal_settings = GOAL_CONFIG[goal]
level_tier = LEVEL_CONFIG[experience]["tier"]
slots = []
if "Upper" in plan_name or "Push" in plan_name:
slots = ["Chest", "Back", "Shoulders", "Arms", "Core"]
title = "Upper Body Focus"
elif "Lower" in plan_name or "Legs" in plan_name:
slots = ["Legs", "Legs", "Legs", "Core", "Cardio"]
title = "Lower Body Focus"
else:
slots = ["Legs", "Chest", "Back", "Shoulders", "Core"]
title = "Full Body Mix"
text = f"WORKOUT PLAN: {title}\n"
text += f"User: {age}y | {gender} | {weight}kg | {experience}\n"
text += f"Goal: {goal} | Equip: {equipment}\n"
text += "="*40 + "\n\n"
text += f"WARM-UP (5-8 mins):\n"
if injury == "Knee": text += "- Arm Circles & Torso Twists\n- Glute Bridges\n\n"
else: text += "- Jumping Jacks\n- Dynamic Stretching\n\n"
text += f"MAIN WORKOUT:\n"
text += f"Sets: {goal_settings['sets']} | Reps: {goal_settings['reps']} | Rest: {goal_settings['rest']}\n\n"
used_names = []
for i, muscle in enumerate(slots):
candidates = get_exercises(muscle, equipment, injury, level_tier, count=3)
selected = candidates[0]
for cand in candidates:
if cand['name'] not in used_names:
selected = cand
break
used_names.append(selected['name'])
load = calculate_weight(selected['ratio'], weight, gender, level_tier, muscle)
text += f"{i+1}. {selected['name']} ({muscle})\n"
text += f" Rec. Load: {load}\n\n"
text += f"FINISHER:\n"
if goal in ["Weight Loss", "Endurance"]:
text += "HIIT: 30s Work / 30s Rest (5 Rounds)"
else:
text += "Core Stability: 3 Sets to Failure"
return text
# 6. WRAPPER
def predict_wrapper(age, gender, weight, height, goal, equipment, injury, experience):
input_df = pd.DataFrame({
'Age': [age], 'Gender': [gender], 'Weight_kg': [weight],
'Height_cm': [height], 'Goal': [goal], 'Equipment': [equipment],
'Injury': [injury], 'Experience': [experience]
})
plan_name = model.predict(input_df)[0]
routine = generate_routine(plan_name, age, gender, weight, goal, equipment, injury, experience)
return routine, f"AI Strategy: {plan_name}"
# 7. LAUNCH
iface = gr.Interface(
fn=predict_wrapper,
inputs=[
gr.Slider(18, 80, step=1, value=25, label="Age"),
gr.Radio(["Male", "Female"], label="Gender", value="Male"),
gr.Number(label="Weight (kg)", value=75),
gr.Number(label="Height (cm)", value=175),
gr.Dropdown(list(GOAL_CONFIG.keys()), label="Goal", value="Muscle Gain"),
gr.Dropdown(['Gym Membership', 'Home Dumbbells', 'Bodyweight Only', 'Full Home Gym (Rack+Barbell)'], label="Equipment", value="Gym Membership"),
gr.Dropdown(['None', 'Knee', 'Back', 'Shoulder', 'Ankle'], label="Injury", value="None"),
gr.Dropdown(list(LEVEL_CONFIG.keys()), label="Experience", value="Intermediate")
],
outputs=[
gr.Textbox(label="Generated Workout", lines=20),
gr.Textbox(label="AI Note")
],
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"
)
iface.launch()