m

app.py

@@ -858,79 +858,82 @@ with gr.Blocks(theme=gr.themes.Soft(), css=".gradio-container {max-width: 960px
     }
 
     with welcome_page:
-        gr.Markdown("# AI Indentifier: Can you spot the AI?\n你将听到一系列对话，请判断哪个回应者是 AI。")
+        gr.Markdown("# Can you spot the hidden AI?\nListen to the following conversations. Please determine which respondent is an AI.")
         start_btn = gr.Button("Start", variant="primary")
 
     with info_page:
-        gr.Markdown("## 请提供一些基本信息")
-        username_input = gr.Textbox(label="用户名", placeholder="请输入你的昵称")
-        age_input = gr.Radio(["18岁以下", "18-25岁", "26-35岁", "36-50岁", "50岁以上"], label="年龄")
-        gender_input = gr.Radio(["男", "女", "其他"], label="性别")
-        education_input = gr.Radio(["高中及以下", "本科", "硕士", "博士", "其他"], label="学历")
-        education_other_input = gr.Textbox(label="请填写你的学历", visible=False, interactive=False)
-        ai_experience_input = gr.Radio(["从未使用过", "偶尔接触（如看别人用）", "使用过几次，了解基本功能", "经常使用，有一定操作经验", "非常熟悉，深入使用过多个 AI 工具"], label="对 AI 工具的熟悉程度")
-        submit_info_btn = gr.Button("提交并开始学习样例", variant="primary", interactive=False)
+        gr.Markdown("## Basic Information")
+        username_input = gr.Textbox(label="Username", placeholder="Please enter your nickname")
+        age_input = gr.Radio(["Under 18", "18-25", "26-35", "36-50", "Over 50"], label="Age")
+        gender_input = gr.Radio(["Male", "Female", "Other"], label="Gender")
+        education_input = gr.Radio(["High school or below", "Bachelor", "Master", "PhD", "Other (please specify)"], label="Education Level")
+        education_other_input = gr.Textbox(label="Please enter your education", visible=False, interactive=False)
+        ai_experience_input = gr.Radio([
+            "Never used",
+            "Occasionally exposed (e.g., watching others use)",
+            "Used a few times, understand basic functions",
+            "Use frequently, have some experience",
+            "Very familiar, have in-depth experience with multiple AI tools"
+        ], label="Familiarity with AI Tools")
+        submit_info_btn = gr.Button("Submit and Start Learning Sample", variant="primary", interactive=False)
 
-    with sample_page:
 
-        gr.Markdown("## 样例分析\n请选择一个维度进行学习和打分练习。所有维度共用同一个样例音频。")
-        sample_dimension_selector = gr.Radio(DIMENSION_TITLES, label="选择学习维度", value=DIMENSION_TITLES[0])
+    with sample_page:
+        gr.Markdown("## Sample Analysis\nPlease select a dimension to study and practice scoring. All dimensions share the same sample audio.")
+        sample_dimension_selector = gr.Radio(DIMENSION_TITLES, label="Select Learning Dimension", value=DIMENSION_TITLES[0])
         with gr.Row():
             with gr.Column(scale=1):
-                sample_audio = gr.Audio(label="样例音频", value=DIMENSIONS_DATA[0]["audio"])
+                sample_audio = gr.Audio(label="Sample Audio", value=DIMENSIONS_DATA[0]["audio"])
             with gr.Column(scale=2):
                 with gr.Column(visible=True) as interactive_view:
-                    gr.Markdown("#### 请为以下特征打分 (0-5分。0-特征无体现；1-机器；3-特征无偏向；5-人类)")
+                    gr.Markdown("#### Please rate the following features (0-5 points. 0 - Feature not present; 1 - Machine; 3 - Neutral; 5 - Human)")
                     sample_sliders = [gr.Slider(minimum=0, maximum=5, step=1, label=f"Sub-dim {i+1}", visible=False, interactive=True) for i in range(MAX_SUB_DIMS)]
                 with gr.Column(visible=False) as reference_view:
-                    gr.Markdown("### 参考答案解析")
+                    gr.Markdown("### Reference Answer Explanation (1-5 points. 1 = Machine, 5 = Human)")
                     reference_sliders = [gr.Slider(minimum=0, maximum=5, step=1, label=f"Sub-dim {i+1}", visible=False, interactive=False) for i in range(MAX_SUB_DIMS)]
         with gr.Row():
-            reference_btn = gr.Button("参考")
-            go_to_pretest_btn = gr.Button("我明白了，开始测试", variant="primary")
+            reference_btn = gr.Button("Reference")
+            go_to_pretest_btn = gr.Button("Got it, start the test", variant="primary")
 
     with pretest_page:
-        gr.Markdown("## 测试说明\n"
-                      "- 对于每一道题，你都需要对全部 **5 个维度** 进行评估。\n"
-                      "- 在每个维度下，请为出现的每个特征 **从0到5打分**。\n"
-                      "- **评分解释如下：**\n"
-                      "  - **0 分：特征未体现** (有些特征一定会体现，所以按1到5打分）；\n"
-                      "  - **1 分：极度符合机器特征**；\n"
-                      "  - **2 分��较为符合机器特征**；\n"
-                      "  - **3 分：无明显人类或机器倾向**；\n"
-                      "  - **4 分：较为符合人类特征**；\n"
-                      "  - **5 分：极度符合人类特征**。\n"
-                      "- 完成所有维度后，请根据整体印象对回应方的身份做出做出“人类”或“机器人”的 **最终判断**。\n"
-                      "- 你可以使用“上一维度”和“下一维度”按钮在5个维度间自由切换和修改分数。\n"
-                      "## 特别注意\n"
-                      "- 我们希望您能判断每个维度上**回应者**的表现是**偏向人还是机器**，分数的大小反映回应者的语音类人的程度，而**不是**这个维度体现的程度多少\n（如读音正确也不代表是人类，读音错误也不代表是机器，您应当判断的是“听到的发音更偏向机器还是人类”)\n"
-                      "- 即使您一开始就已经很肯定回应方的身份，同样应当**独立地**对每个维度上回应方的表现进行细致的评判。比如您很肯定回应方是机器，也需要独立地对每个维度判断，而非简单地将每个维度归为偏机器。")
-        go_to_test_btn = gr.Button("开始测试", variant="primary")
+        gr.Markdown("## Test Instructions\n"
+                    "- For each question, you need to evaluate **all 5 dimensions**.\n"
+                    "- Within each dimension, please rate each appearing feature **from 1 to 5**.\n"
+                    "- **Scoring Guide:**\n"
+                    "  - **0 points: Feature not present**;\n"
+                    "  - **1 point: Strongly machine-like**;\n"
+                    "  - **2 points: Somewhat machine-like**;\n"
+                    "  - **3 points: Neutral**;\n"
+                    "  - **4 points: Somewhat human-like**;\n"
+                    "  - **5 points: Strongly human-like**.\n"
+                    "- After completing all dimensions, make a **final judgment** on whether the respondent is “Human” or “AI” based on your overall impression.\n"
+                    "- You can use the “Previous Dimension” and “Next Dimension” buttons to freely switch and modify scores across the 5 dimensions.")
+        go_to_test_btn = gr.Button("Start Test", variant="primary")
 
+        
+   
+        
     with test_page:
-        gr.Markdown("## 正式测试")
+        gr.Markdown("## Formal Test")
         question_progress_text = gr.Markdown()
         test_dimension_title = gr.Markdown()
-        test_audio = gr.Audio(label="测试音频")
-        gr.Markdown("--- \n ### 请为对话中的回应者（非发起者）针对以下特征打分 (0-5分。0-特征无体现；1-机器；3-特征无偏向；5-人类)")
-        
-        test_sliders = [gr.Slider(minimum=0, maximum=5, step=1, label=f"Sub-dim {i+1}", visible=False, interactive=True, show_label = True) for i in range(MAX_SUB_DIMS)]
-       
+        test_audio = gr.Audio(label="Test Audio")
+        gr.Markdown("--- \n ### Please rate the respondent (not the initiator) in the conversation based on the following features (0-5 points. 0 - Feature not present; 1 - Machine; 3 - Neutral; 5 - Human)")
+        test_sliders = [gr.Slider(minimum=0, maximum=5, step=1, label=f"Sub-dim {i+1}", visible=False, interactive=True) for i in range(MAX_SUB_DIMS)]
         with gr.Row():
-            prev_dim_btn = gr.Button("上一维度")
-            next_dim_btn = gr.Button("下一维度", variant="primary")
+            prev_dim_btn = gr.Button("Previous Dimension")
+            next_dim_btn = gr.Button("Next Dimension", variant="primary")
 
     with final_judgment_page:
-        gr.Markdown("## 最终判断")
-        gr.Markdown("您已完成对所有维度的评分。请根据您的综合印象，做出最终判断。")
-        final_human_robot_radio = gr.Radio(["👤 人类", "🤖 机器人"], label="请判断回应者类型 (必填)")
-        submit_final_answer_btn = gr.Button("提交本题答案", variant="primary", interactive=False)
+        gr.Markdown("## Final Judgment")
+        gr.Markdown("You have completed scoring for all dimensions. Please make a final judgment based on your overall impression.")
+        final_human_robot_radio = gr.Radio(["👤 Human", "🤖 AI"], label="Please determine the respondent type (required)")
+        submit_final_answer_btn = gr.Button("Submit Answer for This Question", variant="primary", interactive=False)
 
     with result_page:
-        gr.Markdown("## 测试完成")
+        gr.Markdown("## Test Completed")
         result_text = gr.Markdown()
-        back_to_welcome_btn = gr.Button("返回主界面", variant="primary")
-
+        back_to_welcome_btn = gr.Button("Back to Main Page", variant="primary")
     # ==============================================================================
     # 事件绑定 (Event Binding) & IO 列表定义
     # ==============================================================================