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import pandas as pd

# Create a realistic, human-like month-long weight gain diet plan with eggs and snacks
data = {
    "Day": [f"Day {i+1}" for i in range(30)],
    "Pre-Breakfast": [
        "Banana + Almonds + Warm milk with honey" if i % 2 == 0 else "Dates + Walnuts + Milk with whey protein" 
        for i in range(30)
    ],
    "Breakfast": [
        "Veggie omelette + Whole wheat toast + Yogurt + Mango" if i % 3 == 0 else
        "3 Boiled eggs + Paratha with butter + Curd + Papaya" if i % 3 == 1 else
        "Scrambled eggs + Peanut butter toast + Apple"
        for i in range(30)
    ],
    "Mid-Morning Snack": [
        "Sprouts chaat + Coconut water" if i % 2 == 0 else "Boiled chickpeas + Banana smoothie"
        for i in range(30)
    ],
    "Lunch": [
        "Steamed rice + Dal + Paneer curry + Mixed veggies + Buttermilk" if i % 2 == 0 else
        "Quinoa + Grilled chicken + Salad + Curd"
        for i in range(30)
    ],
    "Evening Snack": [
        "2 Boiled eggs + Masala chai" if i % 2 == 0 else "Oats with milk + Mixed berry shake"
        for i in range(30)
    ],
    "Dinner": [
        "Brown rice + Fish curry + Stir-fried vegetables + Lentil soup" if i % 2 == 0 else
        "Rotis + Paneer curry + Green salad + Dal"
        for i in range(30)
    ],
    "Before Bed": [
        "Warm milk with ghee + Handful of mixed nuts" if i % 2 == 0 else "Milk with honey + Protein bar"
        for i in range(30)
    ]
}

# Convert the data to a DataFrame
df = pd.DataFrame(data)

# Save the DataFrame to an Excel file
file_path = "/mnt/data/realistic_weight_gain_diet_plan.xlsx"
df.to_excel(file_path, index=False)

# Provide the file path for download
file_path