model_api.py

import streamlit as st
from huggingface_hub import InferenceClient

def query_model(prompt):

    try:
        # Read token from Streamlit secrets
        HF_TOKEN = st.secrets["HF_TOKEN"]

        client = InferenceClient(
            model="meta-llama/Meta-Llama-3-8B-Instruct",
            token=HF_TOKEN
        )

        response = client.chat_completion(
            messages=[
                {"role": "system", "content": "You are a certified professional fitness trainer."},
                {"role": "user", "content": prompt}
            ],
            max_tokens=800,
            temperature=0.7
        )

        return response.choices[0].message.content

    except Exception as e:
        return f"Error: {str(e)}"