Update app.py

app.py

@@ -47,18 +47,18 @@ def extract_pdf_text(file_path):
 def generate_summary(pdf_file):
     global summary_text, pdf_text
     if not client:
-        return "❌ 請先設定 API Key"
+        return "❌ 請先設定 OpenAI API Key"
     if not pdf_file:
         return "❌ 請先上傳 PDF 文件"
     try:
         pdf_text = extract_pdf_text(pdf_file.name)
         if not pdf_text.strip():
-            return "⚠️ 無法解析 PDF 文字"
+            return "⚠️ 無法解析 PDF 文字，可能為純圖片 PDF 或空白文件。"
         pdf_text_truncated = pdf_text[:8000]
         response = client.chat.completions.create(
             model=selected_model,
             messages=[
-                {"role": "system", "content": "請用繁體中文整理以下 PDF 內容摘要。"},
+                {"role": "system", "content": "請將以下 PDF 內容整理為條列式摘要，用繁體中文回答："},
                 {"role": "user", "content": pdf_text_truncated}
             ],
             temperature=0.3
@@ -71,7 +71,7 @@ def generate_summary(pdf_file):
 
 def ask_question(user_question):
     if not client:
-        return "❌ 請先設定 API Key"
+        return "❌ 請先設定 OpenAI API Key"
     if not summary_text and not pdf_text:
         return "❌ 請先生成 PDF 摘要"
     if not user_question.strip():
@@ -97,52 +97,34 @@ def clear_all():
     pdf_text = ""
     return "", "", ""
 
-with gr.Blocks(
-    title="PDF 摘要助手",
-    css="""
-    .gradio-container {
-        max-width: none !important;
-        width: 100% !important;
-        background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
-        min-height: 100vh;
-    }
-    .main-content {
-        max-width: 1600px !important;
-        margin: 20px auto !important;
-        padding: 30px !important;
-        background: rgba(255, 255, 255, 0.95) !important;
-        border-radius: 20px !important;
-    }
-    """
-) as demo:
-    with gr.Column():
-        gr.Markdown("## 📄 PDF 摘要 & 問答助手")
+with gr.Blocks(title="PDF 摘要助手") as demo:
+    gr.Markdown("## 📄 PDF 摘要 & 問答助手")
 
-        with gr.Tab("🔧 設定"):
-            api_key_input = gr.Textbox(label="🔑 輸入 OpenAI API Key", type="password")
-            api_key_status = gr.Textbox(label="API 狀態", interactive=False, value="等待設定 API Key...")
-            api_key_btn = gr.Button("確認 API Key")
-            api_key_btn.click(set_api_key, inputs=api_key_input, outputs=api_key_status)
+    with gr.Tab("🔧 設定"):
+        api_key_input = gr.Textbox(label="🔑 輸入 OpenAI API Key", type="password")
+        api_key_status = gr.Textbox(label="API 狀態", interactive=False, value="等待設定 API Key...")
+        api_key_btn = gr.Button("確認 API Key")
+        api_key_btn.click(set_api_key, inputs=api_key_input, outputs=api_key_status)
 
-            model_choice = gr.Radio(["gpt-4", "gpt-4.1", "gpt-4.5"], label="選擇 AI 模型", value="gpt-4")
-            model_status = gr.Textbox(label="模型狀態", interactive=False, value="✅ 已選擇：gpt-4")
-            model_choice.change(set_model, inputs=model_choice, outputs=model_status)
+        model_choice = gr.Radio(["gpt-4", "gpt-4.1", "gpt-4.5"], label="選擇 AI 模型", value="gpt-4")
+        model_status = gr.Textbox(label="模型狀態", interactive=False, value="✅ 已選擇：gpt-4")
+        model_choice.change(set_model, inputs=model_choice, outputs=model_status)
 
-        with gr.Tab("📄 摘要"):
-            pdf_upload = gr.File(label="上傳 PDF", file_types=[".pdf"])
-            summary_btn = gr.Button("生成摘要")
-            summary_output = gr.Textbox(label="PDF 摘要", lines=12)
-            summary_btn.click(generate_summary, inputs=pdf_upload, outputs=summary_output)
+    with gr.Tab("📄 摘要"):
+        pdf_upload = gr.File(label="上傳 PDF", file_types=[".pdf"])
+        summary_btn = gr.Button("生成摘要")
+        summary_output = gr.Textbox(label="PDF 摘要", lines=12)
+        summary_btn.click(generate_summary, inputs=pdf_upload, outputs=summary_output)
 
-        with gr.Tab("❓ 問答"):
-            question_input = gr.Textbox(label="請輸入問題", lines=2)
-            question_btn = gr.Button("送出問題")
-            answer_output = gr.Textbox(label="AI 回答", lines=8)
-            question_btn.click(ask_question, inputs=question_input, outputs=answer_output)
-            question_input.submit(ask_question, inputs=question_input, outputs=answer_output)
+    with gr.Tab("❓ 問答"):
+        question_input = gr.Textbox(label="請輸入問題", lines=2)
+        question_btn = gr.Button("送出問題")
+        answer_output = gr.Textbox(label="AI 回答", lines=8)
+        question_btn.click(ask_question, inputs=question_input, outputs=answer_output)
+        question_input.submit(ask_question, inputs=question_input, outputs=answer_output)
 
-        clear_btn = gr.Button("🗑️ 清除所有資料")
-        clear_btn.click(clear_all, outputs=[summary_output, question_input, answer_output])
+    clear_btn = gr.Button("🗑️ 清除所有資料")
+    clear_btn.click(clear_all, outputs=[summary_output, question_input, answer_output])
 
 if __name__ == "__main__":
     demo.launch(show_error=True)