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# app.py
import gradio as gr
from mec_api import run_mec_pipeline
def mec_demo(user_input, force_hei, show_raw_uesp):
fusion_prompt, instruction_block, uesp_packet = run_mec_pipeline(user_input, force_hei=force_hei)
output_uesp_str = ""
if show_raw_uesp:
import json
output_uesp_str = json.dumps(uesp_packet, indent=2)
return fusion_prompt, instruction_block, output_uesp_str
with gr.Blocks() as demo:
gr.Markdown("# Master Emotional Core™ (MEC™) — Functional Empathy Demo")
gr.Markdown("Live demo of MEC Functional Empathy Pipeline — *Empathy-first AI. Built to protect.*")
user_input = gr.Textbox(label="Your Input Sentence", placeholder="Type here...")
force_hei = gr.Checkbox(label="Force HEI Mode", value=False)
show_raw_uesp = gr.Checkbox(label="Show Raw UESP Packet (Dev Mode)", value=False)
run_button = gr.Button("Run Demo")
output_fusion = gr.Textbox(label="Fusion Prompt")
output_instruction = gr.Textbox(label="LLM Instruction Block")
output_uesp = gr.Textbox(label="Raw UESP Packet (if enabled)")
run_button.click(
mec_demo,
inputs=[user_input, force_hei, show_raw_uesp],
outputs=[output_fusion, output_instruction, output_uesp]
)
demo.launch()
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