Update app.py

app.py

@@ -2,7 +2,11 @@ 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）
+# ✅ OpenRouter APIキーを直接設定（Hugging Face Secretに置き換える場合は os.getenv() 推奨）
+API_KEY = "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"
+BASE_URL = "https://openrouter.ai/api/v1"
+
+# Lexile難易度別教材
 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.",
@@ -13,27 +17,29 @@ texts = {
 
 levels = [300, 600, 850, 1050, 1250]
 
-client = None
-
-def init_client(api_key):
-    global client
-    client = OpenAI(api_key=api_key)
+client = OpenAI(
+    base_url=BASE_URL,
+    api_key=API_KEY
+)
 
-def generate_question(api_key, text):
-    init_client(api_key)
+# --- AIによる問題生成 ---
+def generate_question(text):
     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 (*).
+    Read the following passage and generate ONE multiple-choice question with 4 options (A–D).
+    Mark the correct answer with an asterisk (*). Use concise English.
 
-    Passage: {text}
+    Passage:
+    {text}
     """
     response = client.chat.completions.create(
-        model="gpt-4o-mini",
-        messages=[{"role": "user", "content": prompt}]
+        model="google/gemma-3-27b-it:free",
+        messages=[{"role": "user", "content": prompt}],
+        max_tokens=300
     )
     return response.choices[0].message.content.strip()
 
-def adaptive_test(api_key, prev_level, prev_correct):
+# --- 適応的に次の問題を決定 ---
+def adaptive_test(prev_level, prev_correct):
     idx = levels.index(prev_level)
     if prev_correct and idx < len(levels) - 1:
         new_level = levels[idx + 1]
@@ -43,60 +49,61 @@ def adaptive_test(api_key, prev_level, prev_correct):
         new_level = prev_level
 
     text = texts[new_level]
-    question = generate_question(api_key, text)
+    question = generate_question(text)
     return new_level, text, question
 
-# --- Gradio UI ---
-def start_test(api_key):
-    level = 850  # 中央から開始
+# --- テスト開始 ---
+def start_test():
+    level = 850  # 真ん中から開始
     text = texts[level]
-    question = generate_question(api_key, text)
+    question = generate_question(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）
+# --- 回答処理 ---
+def next_step(prev_level, user_answer, question_text):
+    # 正解の抽出
     lines = question_text.split("\n")
     correct_option = None
     for line in lines:
         if "*" in line:
-            correct_option = line.strip().replace("*", "").split(".")[0].strip()
+            correct_option = line.replace("*", "").split(".")[0].strip().upper()
             break
 
     correct = (user_answer.strip().upper() == correct_option)
-    new_level, new_text, new_question = adaptive_test(api_key, prev_level, correct)
-    
+    new_level, new_text, new_question = adaptive_test(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)
+        feedback += f"\n\n🎯 Your estimated reading level is **{new_level}L**."
         return feedback, "", "", new_level
     else:
         return feedback, new_text, new_question, new_level
 
+# --- Gradio UI ---
 with gr.Blocks() as demo:
-    gr.Markdown("# 📘 適応型リーディングテスト (Adaptive Reading Test)")
+    gr.Markdown("# 📘 Adaptive Reading Level Test (Lexile-based)")
 
-    api_key = gr.Textbox(label="🔑 OpenRouter / OpenAI API Key", type="password")
-    start_btn = gr.Button("▶️ テストを開始")
+    start_btn = gr.Button("▶️ Start Test")
 
-    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)
+    level_display = gr.Textbox(label="Current Level")
+    text_display = gr.Textbox(label="Reading Passage")
+    question_display = gr.Textbox(label="Question (A–D)", lines=8)
 
-    user_answer = gr.Textbox(label="あなたの回答（A〜D）")
-    submit_btn = gr.Button("次へ進む")
+    user_answer = gr.Textbox(label="Your Answer (A–D)")
+    submit_btn = gr.Button("Next")
 
     feedback_display = gr.Markdown()
     hidden_level = gr.Number(visible=False)
 
     start_btn.click(
         fn=start_test,
-        inputs=[api_key],
+        inputs=[],
         outputs=[level_display, text_display, question_display, hidden_level]
     )
 
     submit_btn.click(
         fn=next_step,
-        inputs=[api_key, hidden_level, user_answer, question_display],
+        inputs=[hidden_level, user_answer, question_display],
         outputs=[feedback_display, text_display, question_display, hidden_level]
     )