app.py

import gradio as gr
from transformers import pipeline

# Light & fast model for CPU Basic
pipe = pipeline(
    "text-generation",
    model="Qwen/Qwen2.5-1.5B-Instruct",
    device="cpu",
    torch_dtype="auto"
)

def generate_lunch_plan(preferences, allergies, num_people, days=5):
    prompt = f"""You are a friendly lunch planner for a Kenyan organization of {num_people} people.
Preferences: {preferences or 'Varied Kenyan meals, healthy options'}
Allergies/Restrictions: {allergies or 'None'}

Create a {days}-day lunch plan. For each day:
- Main dish with short description
- Side or accompaniment
- Main ingredients
- Why it fits the group

Make it practical, affordable and delicious."""

    response = pipe(prompt, max_new_tokens=600, temperature=0.7, do_sample=True)[0]['generated_text']
    # Simple cleanup
    if "You are a friendly" in response:
        response = response.split("You are a friendly")[-1].strip()
    return response

with gr.Blocks(title="🍲 Team Lunch Planner", theme=gr.themes.Soft()) as demo:
    gr.Markdown("# 🍲 Team Lunch Planner\nHelping your organization eat better together")

    with gr.Row():
        with gr.Column():
            prefs = gr.Textbox(
                label="Food Preferences",
                placeholder="Ugali, githeri, pilau, lots of veggies...",
                value="Kenyan staples, healthy options, quick to prepare"
            )
            allergies = gr.Textbox(
                label="Allergies / Restrictions",
                placeholder="No peanuts, no dairy..."
            )
        
        with gr.Column():
            people = gr.Slider(5, 100, value=20, label="Number of people")
            days = gr.Slider(1, 7, value=5, label="Days to plan")

    btn = gr.Button("Generate Lunch Plan", variant="primary", size="large")
    output = gr.Markdown(label="Your Lunch Ideas")

    btn.click(
        generate_lunch_plan,
        inputs=[prefs, allergies, people, days],
        outputs=output
    )

# Important for HF Spaces
if __name__ == "__main__":
    demo.launch(
        server_name="0.0.0.0",
        server_port=7860,
        share=False
    )