app.py

import gradio as gr

# Skills + lessons + quizzes
knowledge = {
    "Gusudira": {
        "lessons": [
            "Ambara gloves na goggles mbere yo gusudira, menya safety.",
            "Menya ubwoko bwa welding: MIG, TIG, Arc. Practice simple joints.",
            "Advanced Welding: Complex joints, maintain safety, practice daily."
        ],
        "quiz": [
            {"q": "Ni ibiki ugomba kwambara mbere yo gusudira?", "a": "gloves na goggles"},
            {"q": "Ni ubuhe bwoko bwa welding bw'ibanze?", "a": "simple joints"},
            {"q": "Ni iki ugomba gukora buri munsi?", "a": "practice daily"}
        ]
    },
    "Ububaji": {
        "lessons": [
            "Hammer na Saw ni ibikoresho by'ingenzi, ambara gloves.",
            "Measure, cut wood, assemble furniture basics.",
            "Advanced Carpentry: Cabinets, shelves, daily practice."
        ],
        "quiz": [
            {"q": "Ni ibikoresho by'ingenzi mu bubaji?", "a": "hammer na saw"},
            {"q": "Ni iki ugomba gukora mbere yo gutema ibiti?", "a": "measure"},
            {"q": "Ni iki ugomba gukora buri munsi?", "a": "practice daily"}
        ]
    }
}

user_progress = {}

def get_skill(user_input, dropdown_skill):
    if dropdown_skill and dropdown_skill != "Hitamo skill":
        return dropdown_skill
    text = user_input.lower()
    for skill in knowledge.keys():
        if skill.lower() in text:
            return skill
    return None

def vocational_ai(voice_input, dropdown_skill, user_name="Student", answer=None):
    skill = get_skill(voice_input, dropdown_skill)
    if not skill:
        return "Sinamenye umwuga. Sobanura neza icyo ushaka kwiga.", None, None

    if user_name not in user_progress:
        user_progress[user_name] = {"skill": skill, "lesson": 0}
    else:
        if user_progress[user_name]["skill"] != skill:
            user_progress[user_name] = {"skill": skill, "lesson": 0}
        else:
            lesson_index = user_progress[user_name]["lesson"]
            if answer:
                correct_answer = knowledge[skill]["quiz"][lesson_index]["a"].lower()
                if answer.strip().lower() == correct_answer:
                    user_progress[user_name]["lesson"] += 1
                else:
                    return f"❌ Igisubizo cyawe ntabwo ari cyo. Gerageza ugenzure quiz:", knowledge[skill]["quiz"][lesson_index]["q"], None

    lesson_index = user_progress[user_name]["lesson"]

    if lesson_index >= len(knowledge[skill]["lessons"]):
        return f"🎉 Congratulations {user_name}! You have completed all lessons for {skill}.", None, None

    lesson_text = knowledge[skill]["lessons"][lesson_index]
    quiz_q = knowledge[skill]["quiz"][lesson_index]["q"]

    # Modern card-style message
    response_text = f"""
🟦 **{skill} - Lesson {lesson_index+1}**
{lesson_text}

🟩 **Quiz:**
{quiz_q}
"""
    return response_text, quiz_q, None

# Super modern Blocks interface
with gr.Blocks() as iface:
    gr.Markdown("# 🎓 Vocational AI – Super Modern Learning")
    gr.Markdown("Vuga cyangwa uhitemo skill, AI izagusubiza mu Kinyarwanda kandi ikurikirane quiz.")

    with gr.Row():
        with gr.Column(scale=1):
            voice_input = gr.Audio(sources=["microphone"], type="filepath", label="🎤 Vuga umwuga wifuza kwiga")
            dropdown_skill = gr.Dropdown(["Hitamo skill"] + list(knowledge.keys()), label="📋 Hitamo skill")
            user_name = gr.Textbox(label="🧑 Izina ryawe", placeholder="John Doe")
            answer = gr.Textbox(label="✏️ Subiza Quiz", placeholder="Andika igisubizo hano, optional")
            submit_btn = gr.Button("▶️ Tangira Lesson / Submit Quiz")
        
        with gr.Column(scale=2):
            lesson_output = gr.Markdown(label="📚 Lesson & Quiz Card")
            quiz_output = gr.Textbox(label="📝 Quiz Question", interactive=False)
            feedback_output = gr.Textbox(label="💬 Feedback", interactive=False)

    submit_btn.click(
        fn=vocational_ai,
        inputs=[voice_input, dropdown_skill, user_name, answer],
        outputs=[lesson_output, quiz_output, feedback_output]
    )

iface.launch()