Update app.py

app.py

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+import gradio as gr
+from openai import OpenAI
+import random
+
+# 難易度ごとの教材（ここではサンプル）
+texts = {
+    300: "Tom has a red ball. He plays with it in the park. The sun is bright.",
+    600: "A young boy found a lost puppy near the river. He decided to take care of it.",
+    850: "Sarah enjoyed reading stories about ancient civilizations and their discoveries.",
+    1050: "The scientist developed a new hypothesis about the evolution of animal behavior.",
+    1250: "Philosophers have long debated the intricate relationship between free will and determinism."
+}
+
+levels = [300, 600, 850, 1050, 1250]
+
+client = None
+
+def init_client(api_key):
+    global client
+    client = OpenAI(api_key=api_key)
+
+def generate_question(api_key, text):
+    init_client(api_key)
+    prompt = f"""
+    Read the following passage and generate a multiple-choice question with 4 options (A-D).
+    Clearly mark the correct answer with an asterisk (*).
+
+    Passage: {text}
+    """
+    response = client.chat.completions.create(
+        model="gpt-4o-mini",
+        messages=[{"role": "user", "content": prompt}]
+    )
+    return response.choices[0].message.content.strip()
+
+def adaptive_test(api_key, prev_level, prev_correct):
+    idx = levels.index(prev_level)
+    if prev_correct and idx < len(levels) - 1:
+        new_level = levels[idx + 1]
+    elif not prev_correct and idx > 0:
+        new_level = levels[idx - 1]
+    else:
+        new_level = prev_level
+
+    text = texts[new_level]
+    question = generate_question(api_key, text)
+    return new_level, text, question
+
+# --- Gradio UI ---
+def start_test(api_key):
+    level = 850  # 中央から開始
+    text = texts[level]
+    question = generate_question(api_key, text)
+    return f"Lexile: {level}L", text, question, level
+
+def next_step(api_key, prev_level, user_answer, question_text):
+    # 正解の判定（AIが付けた * の位置で確認）
+    lines = question_text.split("\n")
+    correct_option = None
+    for line in lines:
+        if "*" in line:
+            correct_option = line.strip().replace("*", "").split(".")[0].strip()
+            break
+
+    correct = (user_answer.strip().upper() == correct_option)
+    new_level, new_text, new_question = adaptive_test(api_key, prev_level, correct)
+    
+    feedback = "✅ Correct!" if correct else "❌ Incorrect."
+    if new_level == prev_level:
+        feedback += "\n\n🎯 Your estimated reading level is around **{}L**.".format(new_level)
+        return feedback, "", "", new_level
+    else:
+        return feedback, new_text, new_question, new_level
+
+with gr.Blocks() as demo:
+    gr.Markdown("# 📘 適応型リーディングテスト (Adaptive Reading Test)")
+
+    api_key = gr.Textbox(label="🔑 OpenRouter / OpenAI API Key", type="password")
+    start_btn = gr.Button("▶️ テストを開始")
+
+    level_display = gr.Textbox(label="現在のレベル")
+    text_display = gr.Textbox(label="教材テキスト")
+    question_display = gr.Textbox(label="問題文（選択肢付き）", lines=8)
+
+    user_answer = gr.Textbox(label="あなたの回答（A〜D）")
+    submit_btn = gr.Button("次へ進む")
+
+    feedback_display = gr.Markdown()
+    hidden_level = gr.Number(visible=False)
+
+    start_btn.click(
+        fn=start_test,
+        inputs=[api_key],
+        outputs=[level_display, text_display, question_display, hidden_level]
+    )
+
+    submit_btn.click(
+        fn=next_step,
+        inputs=[api_key, hidden_level, user_answer, question_display],
+        outputs=[feedback_display, text_display, question_display, hidden_level]
+    )
+
+demo.launch()