Update app.py

app.py

@@ -17,7 +17,7 @@ DEFAULT_PDF_PATH = "教材.pdf"
 
 # 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:
+    with open(DEFAULT_PDF_PATH, "rb") as pdf_file:  # 修正此處為 "rb"
         reader = PyPDF2.PdfReader(pdf_file)
         text = ""
         for page in reader.pages:
@@ -37,20 +37,24 @@ def generate_question(topic, difficulty):
     )
     return response['choices'][0]['message']['content']
 
-# 分析回答完整性 + 記錄弱點（新增長期歷史紀錄）
+# AI 判斷對錯並提供正確答案與講解
 def analyze_answer(user_input, correct_answer, topic):
     global user_errors
     
-    if user_input.strip().lower() == correct_answer.strip().lower():
-        return "✅ 正確！"
+    # 使用 AI 來分析回答
+    prompt = f"學生回答：'{user_input}'\n\n正確答案：'{correct_answer}'\n\n請分析學生的回答是否正確，並提供正確答案與詳細講解。"
     
-    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"
+    response = openai.ChatCompletion.create(
+        model="gpt-4",
+        messages=[{"role": "system", "content": "你是一位教育專家，請評估學生的回答，判斷是否正確，並提供正確答案與詳細講解。"},
+                  {"role": "user", "content": prompt}]
+    )
+    
+    feedback = response['choices'][0]['message']['content']
     
     # 記錄錯誤主題（長期紀錄）
-    user_errors[topic] = user_errors.get(topic, 0) + 1
+    if "❌" in feedback:
+        user_errors[topic] = user_errors.get(topic, 0) + 1
 
     return feedback
 
@@ -71,15 +75,16 @@ with gr.Blocks() as demo:
     topic_input = gr.Dropdown(choices=topics, label="選擇複習主題")
     difficulty_input = gr.Dropdown(choices=difficulties, label="選擇難度等級")
     question_output = gr.Textbox(label="AI 生成的問題")
+    correct_answer_output = gr.Textbox(label="正確答案")
 
     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")
+    analysis_result = gr.Textbox(label="AI 分析與講解")
 
     analyze_btn = gr.Button("分析回答")
-    analyze_btn.click(analyze_answer, inputs=[user_answer, question_output, topic_input], outputs=analysis_result)
+    analyze_btn.click(analyze_answer, inputs=[user_answer, correct_answer_output, topic_input], outputs=analysis_result)
 
     # 新增弱點歷史紀錄功能
     weaknesses_output = gr.Textbox(label="弱點歷史紀錄")