Update app.py

app.py

@@ -13,7 +13,7 @@ dataset = load_dataset("intersteller2887/Turing-test-dataset", split="train")
 DIMENSIONS_DATA = [
     {
         "title": "语义和语用特征",
-        "audio": "audio/sample1.wav",
+        "audio": "data/sample1.wav",
         "desc": "这是“语义和语用特征”维度的文本描述示例。",
         "sub_dims": [
             "记忆一致性：回应者是否能够正确并正确并延续并记忆并延续对话信息？是否存在对上下文的误解或不自洽？", "逻辑连贯性：回应者在语义与对话结构上保持前后一致、合乎逻辑？是否存在前后矛盾的情况？",
@@ -33,7 +33,7 @@ DIMENSIONS_DATA = [
     },
     {
         "title": "非生理性副语言特征",
-        "audio": "audio/sample1.wav",
+        "audio": "data/sample1.wav",
         "desc": "这是“非生理性副语言特征”维度的文本描述示例。",
         "sub_dims": [
             "节奏：回应者是否存在自然的停顿？语速是否存在自然、流畅的变化？", "语调：在表达疑问、惊讶、强调时，回应者的音调是否会自然上扬或下降？是否表现出符合语境的变化？",
@@ -48,7 +48,7 @@ DIMENSIONS_DATA = [
     },
     {
         "title": "生理性副语言特征",
-        "audio": "audio/sample1.wav",
+        "audio": "data/sample1.wav",
         "desc": "这是“生理性副语言特征”维度的文本描述示例。",
         "sub_dims": [
             "微生理杂音：回应中是否出现如呼吸声、口水音、气泡音等无意识发声？这些发声是否自然地穿插在恰当的语流节奏当中？",
@@ -62,7 +62,7 @@ DIMENSIONS_DATA = [
     },
     {
         "title": "机械人格",
-        "audio": "audio/sample1.wav",
+        "audio": "data/sample1.wav",
         "desc": "这是“机械人格”维度的文本描述示例。",
         "sub_dims": [
             "谄媚现象：回应者是否频繁地赞同用户、重复用户的说法、不断表示感谢或道歉？是否存在“无论用户说什么都肯定或支持”的语气模式？",
@@ -75,7 +75,7 @@ DIMENSIONS_DATA = [
     },
     {
         "title": "情感表达",
-        "audio": "audio/sample1.wav",
+        "audio": "data/sample1.wav",
         "desc": "这是“情感表达”维度的文本描述示例。",
         "sub_dims": [
             "语义层面：回应者的语言内容是否体现出符合上下文的情绪反应？是否表达了人类对某些情境应有的情感态度？",
@@ -89,9 +89,9 @@ DIMENSIONS_DATA = [
 ]
 DIMENSION_TITLES = [d["title"] for d in DIMENSIONS_DATA]
 QUESTION_SET = [
-    {"audio": "audio/Ses02F_impro01.wav", "desc": "这是第一个测试文件的描述",},
-    {"audio": "audio/Ses02F_impro02.wav", "desc": "这是第二个测试文件的描述",},
-    {"audio": "audio/Ses02F_impro03.wav", "desc": "这是第三个测试文件的描述",},
+    {"audio": "data/Ses02F_impro01.wav", "desc": "这是第一个测试文件的描述",},
+    {"audio": "data/Ses02F_impro02.wav", "desc": "这是第二个测试文件的描述",},
+    {"audio": "data/Ses02F_impro03.wav", "desc": "这是第三个测试文件的描述",},
 ]
 MAX_SUB_DIMS = max(len(d['sub_dims']) for d in DIMENSIONS_DATA)