Update app.py

app.py

@@ -445,7 +445,6 @@ def display_markdown_with_scroll(text, height=200):
     text (str): The Markdown text to be displayed.
     height (int): Height of the scrollable area in pixels.
     """
-    # 使用 <pre> 标签来包裹 Markdown 内容，并添加 CSS 样式创建可滚动的区域
     markdown_container = f"""
     <pre style="
         overflow-y: scroll;
@@ -473,9 +472,7 @@ def compute_one_model_fitted_params(filename, num_fold, query_aware_idxs, resolv
 
     for part in list(query_aware_idxs.keys()):
         if part == "all": continue
-        # 使用 st.empty 创建占位符
         progress_text = st.empty()
-        # if part not in ["Advice","NLP Tasks"]:continue
         progress_text.write(f"{ccount+1}/{len(list(query_aware_idxs.keys()))-1} "+formal_group_name(part))
         progress_bar = st.progress(0)
         cared_idxs = query_aware_idxs.get(part)
@@ -528,7 +525,6 @@ def compute_one_model_fitted_params(filename, num_fold, query_aware_idxs, resolv
         parameters = final_paras.tolist()
         one_model_fitted_params[formal_group_name(part)] = parameters
 
-        # 函数处理完毕，清除进度条和文本
         progress_text.empty()
         progress_bar.empty()
         ccount+=1
@@ -536,7 +532,6 @@ def compute_one_model_fitted_params(filename, num_fold, query_aware_idxs, resolv
     return one_model_fitted_params
 
 def get_json_download_link(json_str, file_name, button_text):
-    # 创建一个BytesIO对象
     b64 = base64.b64encode(json_str.encode()).decode()
     href = f'<a href="data:file/json;base64,{b64}" download="{file_name}">{button_text}</a>'
     return href
@@ -776,7 +771,7 @@ This analysis is based on:
             "> *f(x) > 0.5 means response A is preferred more, and vice versa.*"
         )
         st.markdown(
-            "> *Property = 1 means response A satisfy the property better than B, and vice versa. We only show the properties that distinguish A and B.*"
+            "> *Property = 1 means response A satisfies the property better than B, and vice versa. We only show the properties that distinguish A and B.*"
         )
 
         # count how mant nonzero in shape_values[0].data