From fdc3e5646a38b10fabd7f23384cdd283b9ec95bf Mon Sep 17 00:00:00 2001
From: OedoSoldier <31711261+OedoSoldier@users.noreply.github.com>
Date: Tue, 14 Mar 2023 20:11:39 +0800
Subject: [PATCH 1/2] Fix `clear` command performance in Windows

---
 cli_demo.py | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/cli_demo.py b/cli_demo.py
index 07cfd6f..7b76e01 100644
--- a/cli_demo.py
+++ b/cli_demo.py
@@ -1,10 +1,13 @@
 import os
+import platform
 from transformers import AutoTokenizer, AutoModel
 
-tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True)
-model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).half().cuda()
+tokenizer = AutoTokenizer.from_pretrained("chatglm-6b", trust_remote_code=True)
+model = AutoModel.from_pretrained("chatglm-6b", trust_remote_code=True).half().cuda()
 model = model.eval()
 
+os_name = platform.system()
+
 history = []
 print("欢迎使用 ChatGLM-6B 模型，输入内容即可进行对话，clear 清空对话历史，stop 终止程序")
 while True:
@@ -13,8 +16,8 @@ while True:
         break
     if query == "clear":
         history = []
-        os.system('clear')
+        command = 'cls' if os_name == 'Windows' else 'clear'
+        os.system(command) 
         continue
     response, history = model.chat(tokenizer, query, history=history)
     print(f"ChatGLM-6B：{response}")
-    

From fb94fe80a03271a8cdf79ee99d62fe943729ce81 Mon Sep 17 00:00:00 2001
From: OedoSoldier <31711261+OedoSoldier@users.noreply.github.com>
Date: Tue, 14 Mar 2023 20:12:36 +0800
Subject: [PATCH 2/2] Fix typo

---
 cli_demo.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/cli_demo.py b/cli_demo.py
index 7b76e01..ccdb26b 100644
--- a/cli_demo.py
+++ b/cli_demo.py
@@ -2,8 +2,8 @@ import os
 import platform
 from transformers import AutoTokenizer, AutoModel
 
-tokenizer = AutoTokenizer.from_pretrained("chatglm-6b", trust_remote_code=True)
-model = AutoModel.from_pretrained("chatglm-6b", trust_remote_code=True).half().cuda()
+tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True)
+model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).half().cuda()
 model = model.eval()
 
 os_name = platform.system()