app.py

import gradio as gr
from genesis.pipeline import research_once, DEMO_QUERIES

def run_pipeline_ui(query):
    """Run the full synthetic biology research pipeline."""
    if not query.strip():
        return "Please enter a research topic.", "", None, None
    report = research_once(query)
    summary = report["summary"]
    citations_md = "\n".join(f"- [{c['type']}]({c['url']})" for c in report["citations"]) or "No citations found."
    return summary, citations_md, report["visual_image_url"], report["audio_url"]

with gr.Blocks(theme=gr.themes.Soft(primary_hue="green", secondary_hue="blue")) as demo:

    gr.Markdown("# 🧬 GENESIS-AI — Synthetic Biology Research Engine")

    with gr.Row():
        query_box = gr.Textbox(label="Enter Your Research Topic", scale=4)
        run_btn = gr.Button("🚀 Run Research", variant="primary", scale=1)

    gr.Markdown("**Or try one of these demo queries:**")

    # Outputs (must be defined before using in button.click)
    summary_out = gr.Textbox(label="Executive Summary", lines=15, interactive=False)
    cites_out = gr.Markdown()
    img_out = gr.Image(type="filepath", label="Generated Research Diagram")
    audio_out = gr.Audio(type="filepath", label="AI Narration")

    # Create clickable buttons for demo queries
    with gr.Row():
        for q in DEMO_QUERIES:
            btn = gr.Button(q)
            btn.click(fn=run_pipeline_ui,
                      inputs=gr.Textbox(value=q, visible=False),
                      outputs=[summary_out, cites_out, img_out, audio_out])

    # Main run button
    run_btn.click(fn=run_pipeline_ui,
                  inputs=query_box,
                  outputs=[summary_out, cites_out, img_out, audio_out])

demo.launch()