src/streamlit_app.py

import streamlit as st
import requests

API_URL = "https://api-inference.huggingface.co/models/google/flan-t5-small"
headers = {
    "Authorization": f"Bearer {st.secrets['HF_API_TOKEN']}"
}

st.set_page_config(page_title="Fitness Plan AI", layout="centered")

st.title("🏋️ Fitness Plan AI Generator")
st.write("Generate a personalized fitness plan using AI")

age = st.number_input("Age", 15, 80, 22)
gender = st.selectbox("Gender", ["Male", "Female"])
goal = st.selectbox("Fitness Goal", ["Weight Loss", "Muscle Gain", "General Fitness"])
level = st.selectbox("Fitness Level", ["Beginner", "Intermediate", "Advanced"])
days = st.slider("Workout Days per Week", 1, 7, 4)

def query(payload):
    response = requests.post(API_URL, headers=headers, json=payload)
    return response.json()

if st.button("Generate Fitness Plan"):
    prompt = (
        f"Create a {days}-day fitness workout plan for a "
        f"{age}-year-old {gender}. "
        f"Goal: {goal}. "
        f"Fitness level: {level}. "
        f"Include warm-up, main workout, and cool-down."
    )

    with st.spinner("Generating plan..."):
        output = query({"inputs": prompt})
        st.success("✅ Your Fitness Plan")
        st.write(outp