Delete llm_integration.py

llm_integration.py

@@ -1,57 +0,0 @@
-# llm_integration.py
-import os
-
-# Try to set up an OpenAI client. If anything fails, keep _client=None so the app still runs.
-try:
-    from openai import OpenAI
-    _client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
-    _model = os.getenv("OPENAI_MODEL", "gpt-4o-mini")  # change if you use Azure/OpenRouter
-except Exception as e:
-    _client = None
-    _model = None
-
-DISABLED_MSG = (
-    "[LLM disabled] Install 'openai' and set the OPENAI_API_KEY secret "
-    "in your Space settings to enable AI-generated plans."
-)
-
-def _chat(system: str, user: str, temperature: float = 0.4) -> str:
-    """Small helper that calls the model or returns a friendly fallback."""
-    if _client is None or _model is None:
-        return DISABLED_MSG
-    try:
-        resp = _client.chat.completions.create(
-            model=_model,
-            messages=[{"role": "system", "content": system},
-                      {"role": "user", "content": user}],
-            temperature=temperature,
-        )
-        return (resp.choices[0].message.content or "").strip()
-    except Exception as e:
-        # Keep the UI responsive even if the API fails
-        return f"[LLM error] {e}"
-
-def agent_workout_llm(level: str, days_per_week: int, goal: str, equipment: str) -> str:
-    system = (
-        "You are a certified strength coach. Create concise, beginner-safe weekly training plans. "
-        "Prefer compound movements, progressive overload, clear sets x reps, and brief cues."
-    )
-    user = (
-        f"Design a {int(days_per_week)}-day plan for a {level} user. "
-        f"Goal: {goal}. Equipment: {equipment}. "
-        "Format with bullets, include sets x reps, rest times, and 1–2 safety tips."
-    )
-    return _chat(system, user, temperature=0.35)
-
-def agent_nutrition_llm(weight_kg: float, target_kcal: int,
-                        liked_csv: str, avoid_csv: str, meals: int) -> str:
-    system = (
-        "You are a registered dietitian. Provide practical beginner nutrition plans. "
-        "Respect preferences and allergies. Keep portions realistic."
-    )
-    user = (
-        f"Create a {int(meals)}-meal/day plan ≈{int(target_kcal)} kcal for a {float(weight_kg)} kg person. "
-        f"Preferred foods: {liked_csv or 'none'}. Avoid: {avoid_csv or 'none'}. "
-        "Include approximate macros per meal and a short grocery list."
-    )
-    return _chat(system, user, temperature=0.35)