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Update app.py
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app.py
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@@ -4,96 +4,114 @@ import PyPDF2
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import os
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from datetime import datetime
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# **更新後的主題選項**
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topics = ["教育哲學", "教育社會學", "教育心理學", "課程與教學", "教學原理", "班級經營", "教育測驗與評量", "青少年問題與輔導"]
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difficulties = ["簡單", "中等", "困難"]
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# 學習者錯誤統計(歷史紀錄)
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user_errors = {}
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error_history = {}
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# **開發者預設教材 PDF 檔案**
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DEFAULT_PDF_PATH = "教材.pdf"
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# 解析 PDF 並擷取文本(使用開發者預設的教材)
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def extract_text_from_pdf():
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pdf_text = extract_text_from_pdf() # 讀取教材
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# AI 生成問題函數(基於預設教材)
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def generate_question(topic, difficulty):
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def analyze_answer(user_input, topic):
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global user_errors, error_history
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# 取得當前日期
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current_date = datetime.today().strftime("%Y-%m-%d")
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user_errors[topic] = user_errors.get(topic, 0) + 1
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return feedback
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return "
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# 設定 Gradio 介面
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with gr.Blocks() as demo:
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gr.Markdown("# 教師檢定智慧陪讀家教 🚀")
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ask_btn.click(
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analyze_btn = gr.Button("分析回答")
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date_input = gr.Textbox(label="輸入日期(YYYY-MM-DD)")
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search_errors_btn.click(
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demo.launch()
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import os
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from datetime import datetime
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# ✅ openai 0.28:API 金鑰設定
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openai.api_key = os.getenv("OPENAI_API_KEY")
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topics = ["教育哲學", "教育社會學", "教育心理學", "課程與教學", "教學原理", "班級經營", "教育測驗與評量", "青少年問題與輔導"]
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difficulties = ["簡單", "中等", "困難"]
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user_errors = {}
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error_history = {}
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DEFAULT_PDF_PATH = "教材.pdf"
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def extract_text_from_pdf():
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if not os.path.exists(DEFAULT_PDF_PATH):
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print(f"[錯誤] 教材未找到:{DEFAULT_PDF_PATH}")
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return ""
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try:
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with open(DEFAULT_PDF_PATH, "rb") as f:
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reader = PyPDF2.PdfReader(f)
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return "\n".join([page.extract_text() or "" for page in reader.pages])
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except Exception as e:
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print(f"[錯誤] PDF 載入失敗:{e}")
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return ""
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pdf_text = extract_text_from_pdf()
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def generate_question(topic, difficulty):
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if not pdf_text.strip():
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return "⚠️ 無法載入教材內容,請確認 PDF 是否存在。"
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prompt = f"請根據以下教育學教材內容,設計一個屬於「{topic}」主題、「{difficulty}」難度的考題:\n\n{pdf_text}"
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try:
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response = openai.ChatCompletion.create(
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model="gpt-4o-mini-2024-07-18",
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messages=[
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{"role": "system", "content": "你是一位教育專家,請根據教材內容設計問題。"},
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{"role": "user", "content": prompt}
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]
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)
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return response["choices"][0]["message"]["content"]
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except Exception as e:
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return f"⚠️ 發生錯誤:{e}"
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def analyze_answer(user_input, topic):
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global user_errors, error_history
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if not user_input.strip():
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return "⚠️ 請輸入回答。"
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if not pdf_text.strip():
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return "⚠️ 教材內容未載入,請確認 PDF。"
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current_date = datetime.today().strftime("%Y-%m-%d")
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prompt = f"請根據以下教材內容,檢查學生的回答是否正確,並提供正確答案與講解:\n{pdf_text}\n\n學生回答:'{user_input}'"
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try:
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response = openai.ChatCompletion.create(
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model="gpt-4o-mini-2024-07-18",
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messages=[
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{"role": "system", "content": "你是一位教育專家,請根據教材內容分析學生回答。"},
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{"role": "user", "content": prompt}
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]
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)
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feedback = response["choices"][0]["message"]["content"]
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except Exception as e:
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return f"⚠️ 發生錯誤:{e}"
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if "❌" in feedback or "錯" in feedback:
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user_errors[topic] = user_errors.get(topic, 0) + 1
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error_history.setdefault(current_date, []).append({
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"題目": topic,
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"回答": user_input,
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"AI 分析": feedback
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})
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return feedback
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def get_errors_by_date_safe(date_str):
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try:
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datetime.strptime(date_str, "%Y-%m-%d")
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except ValueError:
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return "⚠️ 日期格式錯誤,請使用 YYYY-MM-DD。"
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errors = error_history.get(date_str)
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if not errors:
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return "✅ 該日無錯題紀錄。"
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return "\n\n".join([f"🔹 題目: {e['題目']}\n📝 回答: {e['回答']}\n📖 AI 分析: {e['AI 分析']}" for e in errors])
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with gr.Blocks() as demo:
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gr.Markdown("# 👨🏫 教師檢定智慧陪讀家教 🚀")
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with gr.Row():
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topic_input = gr.Dropdown(choices=topics, label="選擇複習主題")
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difficulty_input = gr.Dropdown(choices=difficulties, label="選擇難度等級")
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ask_btn = gr.Button("🎯 生成問題")
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question_output = gr.Textbox(label="AI 生成的問題", lines=4)
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ask_btn.click(fn=lambda t, d: generate_question(t, d),
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inputs=[topic_input, difficulty_input],
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outputs=question_output)
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user_answer = gr.Textbox(label="你的回答", lines=3)
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analyze_btn = gr.Button("📊 分析回答")
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analysis_result = gr.Textbox(label="AI 分析與講解", lines=5)
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analyze_btn.click(fn=lambda ans, topic: analyze_answer(ans, topic),
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inputs=[user_answer, topic_input],
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outputs=analysis_result)
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gr.Markdown("---")
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gr.Markdown("📅 查詢錯題紀錄")
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date_input = gr.Textbox(label="輸入日期(YYYY-MM-DD)")
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search_errors_btn = gr.Button("🔍 查看該日期錯題")
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error_history_output = gr.Textbox(label="錯題紀錄", lines=5)
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search_errors_btn.click(fn=get_errors_by_date_safe,
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inputs=date_input,
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outputs=error_history_output)
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demo.launch()
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