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| import gradio as gr | |
| from set_method import classify, score, recommend | |
| PERSONALITIES = ["fighter", "operator", "accomplisher", "leader", "engineer", "developer"] | |
| SPHERES = {"S": "Science", "E": "Entrepreneurship", "T": "Technology"} | |
| def classify_project(text): | |
| if not text.strip(): | |
| return "Enter a project description above." | |
| result = classify(text) | |
| sphere_name = SPHERES.get(result["primary"], result["primary"]) | |
| output = f"**Primary Sphere: {sphere_name}** ({result['primary']})\n\n" | |
| output += f"| Sphere | Score |\n|---|---|\n" | |
| for s in ["science", "entrepreneurship", "technology"]: | |
| bar = "█" * int(result[s] * 10) | |
| output += f"| {s.title()} | {result[s]:.2f} {bar} |\n" | |
| return output | |
| def score_project(text, framework): | |
| if not text.strip(): | |
| return "Enter a project description above." | |
| s = score(text, framework=framework) | |
| level = "🟢 High" if s >= 0.6 else "🟡 Medium" if s >= 0.3 else "🔴 Low" | |
| return f"**Score: {s}** ({level})\nFramework: {framework.upper()}" | |
| def recommend_quests(personality, sphere): | |
| try: | |
| quests = recommend(personality, sphere) | |
| return f"Recommended quests for **{personality}** in **{SPHERES.get(sphere, sphere)}**:\n\n" + "\n".join(f"- {q}" for q in quests) | |
| except ValueError as e: | |
| return str(e) | |
| with gr.Blocks(title="set-method — SET Method Toolkit", theme=gr.themes.Base()) as demo: | |
| gr.Markdown("# SET Method — Classify, Score, Recommend\n[pip install set-method](https://pypi.org/project/set-method/) · [Source](https://github.com/K-RnD-Lab/SPHERE-III-TECHNOLOGY)") | |
| with gr.Tab("Classify"): | |
| gr.Markdown("Describe your project to classify it into Science / Entrepreneurship / Technology") | |
| cls_inp = gr.Textbox(label="Project Description", placeholder="e.g. BRCA2 miRNA analysis with ML pipeline for oncology biomarker discovery", lines=3) | |
| cls_btn = gr.Button("Classify", variant="primary") | |
| cls_out = gr.Markdown() | |
| cls_btn.click(classify_project, cls_inp, cls_out) | |
| with gr.Tab("Score"): | |
| gr.Markdown("Score a project against SET or ORBIT framework") | |
| sc_inp = gr.Textbox(label="Project Description", lines=3) | |
| sc_fw = gr.Radio(["set", "orbit"], value="set", label="Framework") | |
| sc_btn = gr.Button("Score", variant="primary") | |
| sc_out = gr.Markdown() | |
| sc_btn.click(score_project, [sc_inp, sc_fw], sc_out) | |
| with gr.Tab("Recommend"): | |
| gr.Markdown("Get quest recommendations based on personality type and sphere") | |
| rec_p = gr.Dropdown(PERSONALITIES, label="Personality Type") | |
| rec_s = gr.Dropdown(["S", "E", "T"], value="S", label="Sphere") | |
| rec_btn = gr.Button("Recommend", variant="primary") | |
| rec_out = gr.Markdown() | |
| rec_btn.click(recommend_quests, [rec_p, rec_s], rec_out) | |
| demo.launch() | |