Update app.py

app.py

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+import gradio as gr
+import openai
+import PyPDF2
+
+# 設定教育心理學主題
+topics = ["學習理論", "動機與情意", "發展心理學", "個別差異", "教學與評量", "班級經營與學習環境", "教育心理學研究方法"]
+difficulties = ["簡單", "中等", "困難"]
+
+# 學習者錯誤統計
+user_errors = {}
+
+# **開發者預設教材 PDF 檔案**
+DEFAULT_PDF_PATH = "教材.pdf"  # 確保此檔案存放在專案目錄中
+
+# 解析 PDF 並擷取文本（使用開發者預設的教材）
+def extract_text_from_pdf():
+    with open(DEFAULT_PDF_PATH, "rb") as pdf_file:
+        reader = PyPDF2.PdfReader(pdf_file)
+        text = ""
+        for page in reader.pages:
+            text += page.extract_text() + "\n"
+    return text
+
+pdf_text = extract_text_from_pdf()  # 讀取教材
+
+# AI 生成問題函數（基於預設教材）
+def generate_question(topic, difficulty):
+    prompt = f"請根據以下教育心理學教材內容，設計一個'{difficulty}'難度的考題：\n{pdf_text}"
+    
+    response = openai.ChatCompletion.create(
+        model="gpt-4",
+        messages=[{"role": "system", "content": "你是一位教育心理學專家，請根據教材內容生成考題。"},
+                  {"role": "user", "content": prompt}]
+    )
+    return response['choices'][0]['message']['content']
+
+# AI 語音輸出
+def ai_speak(text):
+    response = openai.ChatCompletion.create(
+        model="gpt-4",
+        messages=[{"role": "system", "content": "請以教師語氣回答"},
+                  {"role": "user", "content": text}]
+    )
+    return response['choices'][0]['message']['content']
+
+# 分析回答完整性 + 記錄弱點
+def analyze_answer(user_input, correct_answer, topic):
+    global user_errors
+    
+    if user_input.strip().lower() == correct_answer.strip().lower():
+        return "✅ 正確！"
+    
+    elif user_input in correct_answer:
+        feedback = "⚠️ 部分正確，請補充完整"
+    else:
+        feedback = "❌ 答非所問，請重新思考"
+    
+    # 記錄錯誤主題
+    if feedback != "✅ 正確！":
+        if topic in user_errors:
+            user_errors[topic] += 1
+        else:
+            user_errors[topic] = 1
+
+    return feedback
+
+# 列出可加強的知識點
+def get_weaknesses():
+    if not user_errors:
+        return "🎯 目前沒有明顯弱點，繼續保持！"
+    
+    sorted_weaknesses = sorted(user_errors.items(), key=lambda x: x[1], reverse=True)
+    return f"📌 你的弱點領域：{', '.join([f'{k} ({v}次錯誤)' for k, v in sorted_weaknesses])}"
+
+# 設定 Gradio 介面
+with gr.Blocks() as demo:
+    gr.Markdown("# 教師檢定智慧陪讀家教 🚀")
+
+    topic_input = gr.Dropdown(choices=topics, label="選擇教育心理學主題")
+    difficulty_input = gr.Dropdown(choices=difficulties, label="選擇難度等級")
+    question_output = gr.Textbox(label="AI 生成的問題")
+
+    ask_btn = gr.Button("生成問題")
+    ask_btn.click(generate_question, inputs=[topic_input, difficulty_input], outputs=question_output)
+
+    user_answer = gr.Textbox(label="你的回答")
+    analysis_result = gr.Textbox(label="分析結果")
+
+    analyze_btn = gr.Button("分析回答")
+    analyze_btn.click(analyze_answer, inputs=[user_answer, question_output, topic_input], outputs=analysis_result)
+
+    weaknesses_output = gr.Textbox(label="智能弱點分析")
+    weakness_btn = gr.Button("查看可加強的知識點")
+    weakness_btn.click(get_weaknesses, outputs=weaknesses_output)
+
+    gr.Interface(fn=ai_speak, inputs="text", outputs="text")
+
+demo.launch()