model_api.py

from huggingface_hub import InferenceClient
import os
 
def query_model(prompt):
    try:
        HF_TOKEN = os.getenv("HF_TOKEN")
 
        # Check if token exists
        if HF_TOKEN is None:
            return "HF_TOKEN is NOT SET. Please configure it in Hugging Face Space settings."
 
        # Initialize model
        client = InferenceClient(
            model="Qwen/Qwen2.5-7B-Instruct",
            token=HF_TOKEN
        )
 
        # Generate response
        response = client.chat_completion(
            messages=[
                {
                    "role": "system",
                    "content": (
                        "You are a certified professional fitness trainer. "
                        "Always generate a complete, structured 5-day workout plan. "
                        "Divide clearly into Day 1 to Day 5. "
                        "Include exercise name, sets, reps, and rest period."
                    )
                },
                {
                    "role": "user",
                    "content": prompt
                }
            ],
            max_tokens=1200,
            temperature=0.6
        )
 
        return response.choices[0].message.content
 
    except Exception as e:
        return f"ERROR OCCURRED: {repr(e)}"