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