优化代码！ 真的最有一次优化isay的逻辑了！！！！

func_box.py

@@ -403,7 +403,7 @@ def prompt_save(txt, name, prompt: gr.Dataset, ipaddr: gr.Request):
         return txt, name, [], prompt.update(samples=result, visible=True), prompt
 
 
-def prompt_input(txt, index, data: gr.Dataset):
+def prompt_input(txt: str, index, data: gr.Dataset, tabs_index):
     """
     点击dataset的值使用Prompt
     Args:
@@ -414,11 +414,18 @@ def prompt_input(txt, index, data: gr.Dataset):
         返回注册函数所需的对象
     """
     data_str = str(data.samples[index][1])
-    if txt:
-        txt = data_str + '\n' + txt
+    data_name = str(data.samples[index][0])
+    rp_str = '"""{v}"""'
+    if data_str.find(rp_str) != -1:
+        new_txt = data_str.replace(rp_str, txt)
+    elif txt and tabs_index == 0:
+        new_txt = data_str + '\n' + txt
     else:
-        txt = data_str
-    return txt
+        new_txt = data_str
+    if tabs_index == 1:
+        return txt, new_txt, data_name
+    else:
+        return new_txt, '', ''
 
 
 def copy_result(history):
@@ -484,7 +491,7 @@ prompt_path = os.path.join(base_path, 'prompt_users')
 def reuse_chat(result, chatbot, history, pro_numb):
     """复用对话记录"""
     if result is None or result == []:
-        pass
+        return chatbot, history, gr.update(), gr.update(), ''
     else:
         if pro_numb:
             chatbot += result
@@ -505,6 +512,7 @@ def num_tokens_from_string(listing: list, encoding_name: str = 'cl100k_base') ->
         count_tokens += len(encoding.encode(i))
     return count_tokens
 
+
 def spinner_chatbot_loading(chatbot):
     loading = [''.join(['.' * random.randint(1, 5)])]
     # 将元组转换为列表并修改元素
@@ -518,6 +526,21 @@ def spinner_chatbot_loading(chatbot):
     loading_msg[-1] = tuple(temp_list)
     return loading_msg
 
+
+def txt_converter_json(input_string):
+    try:
+        if input_string.startswith("{") and input_string.endswith("}"):
+            # 尝试将字符串形式的字典转换为字典对象
+            dict_object = ast.literal_eval(input_string)
+        else:
+            # 尝试将字符串解析为JSON对象
+            dict_object = json.loads(input_string)
+        formatted_json_string = json.dumps(dict_object, indent=4, ensure_ascii=False)
+        return formatted_json_string
+    except (ValueError, SyntaxError):
+        return input_string
+
+
 class YamlHandle:
 
     def __init__(self, file=os.path.join(prompt_path, 'ai_common.yaml')):