# app.py
import os
import gradio as gr
from pipeline import run_with_chain

def ask_dailywellness(query: str) -> str:
    """
    Calls our main pipeline function from pipeline.py
    """
    return run_with_chain(query)

# Build a simple Gradio interface
interface = gr.Interface(
    fn=ask_dailywellness,
    inputs=gr.Textbox(
        lines=2,
        label="Ask DailyWellnessAI",
        placeholder="e.g., How do I improve my posture while working?"
    ),
    outputs=gr.Textbox(
        label="DailyWellnessAI Answer"
    ),
    title="DailyWellnessAI Chat",
    description=(
        "Ask a wellness question, or something about DailyWellnessAI (brand). "
        "If the question is out of scope, you'll get a polite refusal."
    ),
    allow_flagging="never"
)

if __name__ == "__main__":
    interface.launch(server_name="0.0.0.0", server_port=7860)