update description

app.py

@@ -50,8 +50,6 @@ def process(task_name: str,
         return {'Error': e}, None, None
 
 
-instructions = 'Please upload a file or paste the text below. '
-
 task_name_dropdown = gr.components.Dropdown(
     label='Task Name',
     value='Originality',

description.txt

@@ -1,30 +1,11 @@
-  TransDis系统，是一个基于Transformer语言模型的语义距离评分系统，用于自动评估中文（或其他语言）的多用途任务（AUT)中的独创性和灵活性。 
-  
-  输入被试（id)+提示词+回答的数据，每行1个用途，用逗号隔开。您可以通过文本框直接输入数据，也可以上传用逗号隔开的CSV格式文件作为输入，
-CSV输入优先级高于文本框输入。
-  
-  您可以选择用于评分的模型，请注意sentence-transformers_paraphrase-multilingual-mpnet-base-v2和
-sentence-transformers_paraphrase-multilingual-MiniLM-L12-v2可用于多语言，cyclone_simcse-chinese-roberta-wwm-ext仅适
-用于中文，sentence-transformers/all-mpnet-base-v2和sentence-transformers/all-MiniLM-L12-v2仅适用于英文。
-  
+  TransDis系统，是一个基于Transformer语言模型的语义距离评分系统，用于自动评估中文（或其他语言）的多用途任务（AUT)中的独创性和灵活性。
+  输入被试（id)+提示词+回答的数据，每行1个用途，用逗号隔开。您可以通过文本框直接输入数据，也可以上传用逗号隔开的CSV格式文件作为输入，CSV输入优先级高于文本框输入。
+  您可以选择用于评分的模型，请注意sentence-transformers_paraphrase-multilingual-mpnet-base-v2和sentence-transformers_paraphrase-multilingual-MiniLM-L12-v2可用于多语言，cyclone_simcse-chinese-roberta-wwm-ext仅适用于中文，sentence-transformers/all-mpnet-base-v2和sentence-transformers/all-MiniLM-L12-v2仅适用于英文。
   如发生错误，请试着简化你的数据——用更少的行试试。如果不行，则可能是输入格式错误，请尝试重新保存为逗号分隔的CSV，然后再上传CSV文件。
-  
   如需更多帮助或报告其他bug，请联系[email protected]。
 
-  TranDis, a semantic distance scoring system based on transformer-based language models, can be a useful tool to 
-automatically assess originality and flexibility for AUT in Chinese or other languages.  
-  
-  Enter your participant (id) + prompt + response data, one per line, with a COMMA between each variable. You 
-can either input data directly into the text box or upload a comma-separated CSV file as input. Please note that
-if both methods are used, the CSV input will take precedence over the text box input. 
-  
-  You can choose the model to use for scoring. Please note that 
-sentence-transformers_paraphrase-multilingual-mpnet-base-v2 and 
-sentence-transformers_paraphrase-multilingual-MiniLM-L12-v2 are applicable to multiple languages;
-cyclone_simcse-chinese-roberta-wwm-ext is only applicable to Chinese; 
-sentence-transformers/all-mpnet-base-v2 and sentence-transformers/all-MiniLM-L12-v2 are only applicable to English.
-  
-  If an error occurred, try simplifying your data - does it work with fewer rows? If not, the input format may be 
-wrong.
-
+  TranDis, a semantic distance scoring system based on transformer-based language models, can be a useful tool to automatically assess originality and flexibility for AUT in Chinese or other languages.
+  Enter your participant (id) + prompt + response data, one per line, with a COMMA between each variable. You can either input data directly into the text box or upload a comma-separated CSV file as input. Please note that if both methods are used, the CSV input will take precedence over the text box input.
+  You can choose the model to use for scoring. Please note that sentence-transformers_paraphrase-multilingual-mpnet-base-v2 and sentence-transformers_paraphrase-multilingual-MiniLM-L12-v2 are applicable to multiple languages; cyclone_simcse-chinese-roberta-wwm-ext is only applicable to Chinese; sentence-transformers/all-mpnet-base-v2 and sentence-transformers/all-MiniLM-L12-v2 are only applicable to English.
+  If an error occurred, try simplifying your data - does it work with fewer rows? If not, the input format may be wrong.
   For more help, or to report possible bugs in our system, contact [email protected]