Delete app.py

app.py

@@ -1,203 +0,0 @@
-# app_llm.py
-import gradio as gr
-from typing import List, Literal, Tuple
-# Import the new LLM-powered functions
-from llm_integration import agent_workout_llm, agent_nutrition_llm
-
-# --- [Keep all the original JS, Helper functions, and agent_bmi_tdee] ---
-
-# -------------------------------
-# Motivation banner (rotates every 10s via JS)
-# -------------------------------
-MOTIVATION_JS = """
-<div id="motivation" class="motivation">Let’s begin strong! 🚀</div>
-<script>
-  const MOTIVATION = [
-    "You’re doing great—one step at a time! 💪",
-    "Small habits, big results. Keep going. 🔁",
-    "Hydrate and move—your future self thanks you. 💧",
-    "Form first, weight second. You’ve got this. 🧠",
-    "Consistency beats intensity. Show up today. ✅",
-  ];
-  let i = 0;
-  function tick(){
-    const el = document.getElementById("motivation");
-    if (!el) return;
-    el.textContent = MOTIVATION[i % MOTIVATION.length];
-    i++;
-  }
-  tick();                  // first line immediately
-  setInterval(tick, 10000); // then every 10s
-</script>
-"""
-
-# -------------------------------
-# Helpers: BMI / BMR / TDEE
-# -------------------------------
-def bmi_value(height_cm: float, weight_kg: float) -> float:
-    if height_cm <= 0 or weight_kg <= 0:
-        return 0.0
-    h_m = height_cm / 100.0
-    return round(weight_kg / (h_m ** 2), 2)
-
-def bmi_category(bmi: float) -> str:
-    if bmi == 0:
-        return "Invalid inputs"
-    if bmi < 18.5: return "Underweight"
-    if bmi < 25:   return "Normal"
-    if bmi < 30:   return "Overweight"
-    return "Obese"
-
-def bmr_mifflin(sex: Literal["male","female"], age: int, height_cm: float, weight_kg: float) -> float:
-    s = 5 if sex == "male" else -161
-    return 10*weight_kg + 6.25*height_cm - 5*age + s
-
-ACTIVITY = {
-    "Sedentary (office/no exercise)": 1.2,
-    "Light (1-3x/wk)": 1.375,
-    "Moderate (3-5x/wk)": 1.55,
-    "Active (6-7x/wk)": 1.725,
-    "Athlete (2x/day)": 1.9,
-}
-
-def tdee(sex: str, age: int, height_cm: float, weight_kg: float, activity: str) -> Tuple[int, int, int]:
-    base = bmr_mifflin(sex, age, height_cm, weight_kg)
-    factor = ACTIVITY.get(activity, 1.2)
-    maintenance = round(base * factor)
-    cut = maintenance - 500
-    bulk = maintenance + 300
-    return maintenance, cut, bulk
-
-def water_intake_ml(weight_kg: float) -> int:
-    return int(weight_kg * 35)
-
-# -------------------------------
-# Agent 1: BMI & TDEE (Unchanged)
-# -------------------------------
-def agent_bmi_tdee(sex, age, height_cm, weight_kg, activity, goal):
-    bmi = bmi_value(height_cm, weight_kg)
-    cat = bmi_category(bmi)
-    maint, cut, bulk = tdee(sex, age, height_cm, weight_kg, activity)
-    target = {"Lose fat": cut, "Maintain": maint, "Build muscle": bulk}[goal]
-    water = water_intake_ml(weight_kg)
-    water_l = round(water / 1000, 1)
-
-    md = f"""### 📊 BMI & TDEE
-- **BMI:** `{bmi}` → **{cat}**
-- **Maintenance Calories:** **{maint} kcal/day**
-- **Target for goal ({goal}):** **{target} kcal/day**
-- **Water recommendation:** ~ **{water_l} L/day** (≈ {water} ml)
-
-> *These are estimates, not medical advice. Adjust by ±100–150 kcal based on weekly progress.*
-"""
-    return md
-
-# -------------------------------
-# Chained: All-in-One Coach (Now with LLM)
-# -------------------------------
-def coach_all_in_one_llm(
-    sex, age, height_cm, weight_kg, activity, goal,
-    level, days, equipment,
-    liked_csv, avoid_csv, meals
-):
-    # Agent 1 remains the same (deterministic calculations)
-    report = agent_bmi_tdee(sex, age, height_cm, weight_kg, activity, goal)
-    
-    # Get target calories for the nutrition agent
-    maint, cut, bulk = tdee(sex, age, height_cm, weight_kg, activity)
-    target_kcal = {"Lose fat": cut, "Maintain": maint, "Build muscle": bulk}[goal]
-    
-    # Call the LLM-powered agents
-    workout_plan = agent_workout_llm(level, days, goal, equipment)
-    nutrition_plan = agent_nutrition_llm(weight_kg, target_kcal, liked_csv, avoid_csv, meals)
-    
-    return report + "\n---\n" + workout_plan + "\n---\n" + nutrition_plan
-
-# -------------------------------
-# UI (Modified to call LLM agents)
-# -------------------------------
-with gr.Blocks(
-    title="Beginner Gym Coach — LLM-Powered",
-    css="""
-      .motivation{ 
-        background:#fff6e5; border-left:6px solid #ffa84b; 
-        padding:10px 14px; border-radius:8px; font-size:16px; margin-bottom:10px; 
-      }
-    """
-) as demo:
-    gr.Markdown("## 🏋️ Beginner Gym Coach — LLM-Powered\nGive me your basics and I’ll coach you with personalized AI.")
-    gr.HTML(MOTIVATION_JS)
-
-    with gr.Tabs():
-        # --- Tab 1: BMI & TDEE (Unchanged) ---
-        with gr.Tab("BMI & TDEE"):
-            with gr.Row():
-                with gr.Column(scale=1):
-                    sex = gr.Radio(["male","female"], value="female", label="Sex")
-                    age = gr.Slider(15, 70, value=24, step=1, label="Age")
-                    height = gr.Slider(130, 210, value=165, step=1, label="Height (cm)")
-                    weight = gr.Slider(35, 160, value=60, step=0.5, label="Weight (kg)")
-                    activity = gr.Dropdown(list(ACTIVITY.keys()), value="Light (1-3x/wk)", label="Activity")
-                    goal = gr.Radio(["Lose fat","Maintain","Build muscle"], value="Maintain", label="Goal")
-                    btn1 = gr.Button("Calculate")
-                with gr.Column(scale=1):
-                    out1 = gr.Markdown()
-            btn1.click(agent_bmi_tdee, [sex, age, height, weight, activity, goal], out1)
-
-        # --- Tab 2: Workout Plan (Now uses LLM) ---
-        with gr.Tab("Workout Plan"):
-            with gr.Row():
-                with gr.Column(scale=1):
-                    level_w = gr.Radio(["Beginner","Intermediate"], value="Beginner", label="Level")
-                    days_w = gr.Slider(2, 6, value=4, step=1, label="Days/week")
-                    goal_w = gr.Radio(["Lose fat","Maintain","Build muscle"], value="Build muscle", label="Goal")
-                    equipment_w = gr.Dropdown(["Gym (machines/dumbbells)", "Home (bands/db)", "Bodyweight only"], value="Gym (machines/dumbbells)", label="Equipment")
-                    btn2 = gr.Button("Generate Plan with AI")
-                with gr.Column(scale=1):
-                    out2 = gr.Markdown(label="AI-Generated Workout Plan")
-            btn2.click(agent_workout_llm, [level_w, days_w, goal_w, equipment_w], out2)
-
-        # --- Tab 3: Nutrition (Now uses LLM) ---
-        with gr.Tab("Nutrition"):
-            with gr.Row():
-                with gr.Column(scale=1):
-                    target_kcal_n = gr.Number(value=1900, label="Target calories (kcal)")
-                    weight_n = gr.Number(value=60, label="Weight (kg)")
-                    liked_n = gr.Textbox(label="Preferred foods (comma-separated)", placeholder="chicken, eggs, rice, oats, salad, laban")
-                    avoid_n = gr.Textbox(label="Allergies / avoid (comma-separated)", placeholder="nuts, shrimp, gluten")
-                    meals_n = gr.Slider(2, 6, value=3, step=1, label="Meals/day")
-                    btn3 = gr.Button("Build Meal Plan with AI")
-                with gr.Column(scale=1):
-                    out3 = gr.Markdown(label="AI-Generated Nutrition Plan")
-            btn3.click(agent_nutrition_llm, [weight_n, target_kcal_n, liked_n, avoid_n, meals_n], out3)
-
-        # --- Tab 4: All-in-One (Now uses LLM) ---
-        with gr.Tab("All-in-One Coach"):
-            with gr.Row():
-                with gr.Column(scale=1):
-                    sex2 = gr.Radio(["male","female"], value="female", label="Sex")
-                    age2 = gr.Slider(15, 70, value=24, step=1, label="Age")
-                    height2 = gr.Slider(130, 210, value=165, step=1, label="Height (cm)")
-                    weight2 = gr.Slider(35, 160, value=60, step=0.5, label="Weight (kg)")
-                    activity2 = gr.Dropdown(list(ACTIVITY.keys()), value="Light (1-3x/wk)", label="Activity")
-                    goal2 = gr.Radio(["Lose fat","Maintain","Build muscle"], value="Build muscle", label="Goal")
-                    level2 = gr.Radio(["Beginner","Intermediate"], value="Beginner", label="Level")
-                    days2 = gr.Slider(2, 6, value=4, step=1, label="Days/week")
-                    equipment2 = gr.Dropdown(["Gym (machines/dumbbells)", "Home (bands/db)", "Bodyweight only"], value="Gym (machines/dumbbells)", label="Equipment")
-                    liked2 = gr.Textbox(label="Preferred foods", placeholder="chicken, eggs, rice, potatoes")
-                    avoid2 = gr.Textbox(label="Allergies / avoid", placeholder="nuts, shrimp")
-                    meals2 = gr.Slider(2, 6, value=3, step=1, label="Meals/day")
-                    btn4 = gr.Button("Get My Full AI-Powered Plan 🚀")
-                with gr.Column(scale=1):
-                    out4 = gr.Markdown(label="Full AI-Powered Plan")
-            btn4.click(
-                coach_all_in_one_llm,
-                [sex2, age2, height2, weight2, activity2, goal2,
-                 level2, days2, equipment2, liked2, avoid2, meals2],
-                out4
-            )
-
-
-if __name__ == "__main__":
-    demo.launch()
-