diff --git a/crazy_functions/chatglm微调工具.py b/crazy_functions/chatglm微调工具.py
index 0c8f5d2..336d7cf 100644
--- a/crazy_functions/chatglm微调工具.py
+++ b/crazy_functions/chatglm微调工具.py
@@ -18,6 +18,13 @@ def string_to_options(arguments):
     parser.add_argument("--prompt_prefix", type=str, help="Prompt prefix", default='')
     parser.add_argument("--system_prompt", type=str, help="System prompt", default='')
     parser.add_argument("--batch", type=int, help="System prompt", default=50)
+    parser.add_argument("--pre_seq_len", type=int, help="pre_seq_len", default=50)
+    parser.add_argument("--learning_rate", type=float, help="learning_rate", default=2e-2)
+    parser.add_argument("--num_gpus", type=int, help="num_gpus", default=1)
+    parser.add_argument("--json_dataset", type=str, help="json_dataset", default="")
+    parser.add_argument("--ptuning_directory", type=str, help="ptuning_directory", default="")
+
+
 
     # Parse the arguments
     args = parser.parse_args(shlex.split(arguments))
@@ -72,7 +79,8 @@ def 微调数据集生成(txt, llm_kwargs, plugin_kwargs, chatbot, history, syst
 
 
 
-def 启动微调(arguments):
+@CatchException
+def 启动微调(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
     """
     txt             输入栏用户输入的文本，例如需要翻译的一段话，再例如一个包含了待处理文件的路径
     llm_kwargs      gpt模型参数，如温度和top_p等，一般原样传递下去就行
@@ -82,24 +90,35 @@ def 启动微调(arguments):
     system_prompt   给gpt的静默提醒
     web_port        当前软件运行的端口号
     """
-    history = []    # 清空历史，以免输入溢出
     import subprocess
-    PRE_SEQ_LEN = 128
-    LR = 2e-2
-    NUM_GPUS = 1
-    JSON_FILE = 't_code.json'
-    tune_work_path = '/home/hmp/ChatGLM2-6B/ptuning'
+    history = []    # 清空历史，以免输入溢出
+    chatbot.append(("这是什么功能？", "[Local Message] 微调数据集生成"))
+    if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg")
+    args = plugin_kwargs.get("advanced_arg", None)
+    if args is None: 
+        chatbot.append(("没给定指令", "退出"))
+        yield from update_ui(chatbot=chatbot, history=history); return
+    else:
+        arguments = string_to_options(arguments=args)
+      
 
-    command = f"torchrun --standalone --nnodes=1 --nproc-per-node={NUM_GPUS} main.py \
+
+    pre_seq_len = arguments.pre_seq_len             # 128
+    learning_rate = arguments.learning_rate                               # 2e-2
+    num_gpus = arguments.num_gpus                   # 1
+    json_dataset = arguments.json_dataset                 # 't_code.json'
+    ptuning_directory = arguments.ptuning_directory       # '/home/hmp/ChatGLM2-6B/ptuning'
+
+    command = f"torchrun --standalone --nnodes=1 --nproc-per-node={num_gpus} main.py \
         --do_train \
-        --train_file AdvertiseGen/{JSON_FILE} \
-        --validation_file AdvertiseGen/{JSON_FILE} \
+        --train_file AdvertiseGen/{json_dataset} \
+        --validation_file AdvertiseGen/{json_dataset} \
         --preprocessing_num_workers 20 \
         --prompt_column content \
         --response_column summary \
         --overwrite_cache \
         --model_name_or_path THUDM/chatglm2-6b \
-        --output_dir output/clothgen-chatglm2-6b-pt-{PRE_SEQ_LEN}-{LR} \
+        --output_dir output/clothgen-chatglm2-6b-pt-{pre_seq_len}-{learning_rate} \
         --overwrite_output_dir \
         --max_source_length 256 \
         --max_target_length 256 \
@@ -110,16 +129,13 @@ def 启动微调(arguments):
         --max_steps 100 \
         --logging_steps 10 \
         --save_steps 20 \
-        --learning_rate {LR} \
-        --pre_seq_len {PRE_SEQ_LEN} \
+        --learning_rate {learning_rate} \
+        --pre_seq_len {pre_seq_len} \
         --quantization_bit 4"
 
-    process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, cwd=tune_work_path)
+    process = subprocess.Popen(command, shell=True, cwd=ptuning_directory)
     try:
-        stdout, stderr = process.communicate(timeout=3600*5)
+        process.communicate(timeout=3600*24)
     except subprocess.TimeoutExpired:
         process.kill()
-        stdout, stderr = process.communicate()
-        print("Process timed out!")
-        return False
     return
diff --git a/crazy_functions/crazy_functions_test.py b/crazy_functions/crazy_functions_test.py
index a614aac..8b6b540 100644
--- a/crazy_functions/crazy_functions_test.py
+++ b/crazy_functions/crazy_functions_test.py
@@ -212,11 +212,17 @@ def test_Latex():
     #     cli_printer.print(cb)   #  print(cb)
 
 def test_chatglm_finetune():
-    from crazy_functions.chatglm微调工具 import 微调数据集生成
+    from crazy_functions.chatglm微调工具 import 微调数据集生成, 启动微调
     txt = 'build/dev.json'
     plugin_kwargs = {"advanced_arg":"--llm_to_learn=gpt-3.5-turbo --prompt_prefix='根据下面的服装类型提示，想象一个穿着者，对这个人外貌、身处的环境、内心世界、人设进行描写。要求：100字以内，用第二人称。' --system_prompt=''" }
 
-    for cookies, cb, hist, msg in (微调数据集生成)(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
+    # for cookies, cb, hist, msg in (微调数据集生成)(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
+    #     cli_printer.print(cb)
+
+    plugin_kwargs = {"advanced_arg":
+    "      --pre_seq_len=128 --learning_rate=2e-2 --num_gpus=1 --json_dataset='t_code.json' --ptuning_directory='/home/hmp/ChatGLM2-6B/ptuning'     " }
+
+    for cookies, cb, hist, msg in (启动微调)(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
         cli_printer.print(cb)