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app.py

@@ -1,27 +1,56 @@
 import gradio as gr
+from set_method import classify, score, recommend
 
-def classify_project(desc):
-    desc_l = desc.lower()
-    scores = {"Science": 0, "Entrepreneurship": 0, "Technology": 0}
-    sci_kw = ["research","biology","clinical","drug","gene","protein","study","trial","biomedical","cancer","ml","ai","model","data","analysis"]
-    ent_kw = ["market","startup","investor","revenue","product","customer","business","venture","funding","mvp","saas","platform"]
-    tech_kw = ["software","api","library","framework","pipeline","infrastructure","tool","package","dashboard","database","cloud","deploy"]
-    for kw in sci_kw:
-        if kw in desc_l: scores["Science"] += 1
-    for kw in ent_kw:
-        if kw in desc_l: scores["Entrepreneurship"] += 1
-    for kw in tech_kw:
-        if kw in desc_l: scores["Technology"] += 1
-    total = max(sum(scores.values()), 1)
-    sphere = max(scores, key=scores.get)
-    confidence = scores[sphere] / total
-    return f"Sphere: {sphere}\nConfidence: {confidence:.0%}\nScores: {scores}"
+PERSONALITIES = ["fighter", "operator", "accomplisher", "leader", "engineer", "developer"]
+SPHERES = {"S": "Science", "E": "Entrepreneurship", "T": "Technology"}
 
-with gr.Blocks(title="set-method") as demo:
-    gr.Markdown("# SET Method — Classify Your Project\nClassify into Science / Entrepreneurship / Technology spheres")
-    inp = gr.Textbox(label="Project Description", placeholder="Describe your project...")
-    out = gr.Textbox(label="Classification Result")
-    btn = gr.Button("Classify")
-    btn.click(classify_project, inp, out)
+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()