update readme.md

README-ja-JP.md

@@ -133,6 +133,12 @@ streamlit run web_demo.py
 
 ![demo](https://github.com/InternLM/InternLM/assets/9102141/11b60ee0-47e4-42c0-8278-3051b2f17fe4)
 
+`web_demo_internlm.py` を使用して、InternLM 形式のモデルと直接対話できるようになりました。
+まず、モデルの重みを InternLM 形式でダウンロードし、`web_demo_internlm.py` の `ckpt_dir` を置き換えてください。 次のコマンドを実行して対話します。
+```python
+torchrun --master_port 12331 --nnodes=1 --node_rank=0 --nproc_per_node=1 -m streamlit run web_demo_internlm.py
+```
+
 ### デプロイ
 
 [LMDeploy](https://github.com/InternLM/LMDeploy) を使って、InternLM をワンクリックでデプロイする。

README-zh-Hans.md

@@ -226,6 +226,12 @@ streamlit run web_demo.py
 
 ![效果](https://github.com/InternLM/InternLM/assets/9102141/11b60ee0-47e4-42c0-8278-3051b2f17fe4)
 
+现在您可以使用 `web_demo_internlm.py` 直接与 InternLM 格式的模型进行交互。
+首先请下载 InternLM 格式的模型权重，然后替换 `web_demo_internlm.py` 中的 `ckpt_dir`。运行以下命令进行交互：
+````bash
+torchrun --master_port 12331 --nnodes=1 --node_rank=0 --nproc_per_node=1 -m streamlit run web_demo_internlm.py
+````
+
 ### 基于InternLM高性能部署
 
 我们使用 [LMDeploy](https://github.com/InternLM/LMDeploy) 完成 InternLM 的一键部署。

README.md

@@ -222,6 +222,13 @@ The effect is as follows
 
 ![demo](https://github.com/InternLM/InternLM/assets/9102141/11b60ee0-47e4-42c0-8278-3051b2f17fe4)
 
+Now you can interact with models directly in InternLM format using `web_demo_internlm.py`.
+First, please download the model weights in InternLM format, and then replace `ckpt_dir` in `web_demo_internlm.py`. Start by running the following command:
+```bash
+torchrun --master_port 12331 --nnodes=1 --node_rank=0 --nproc_per_node=1 -m streamlit run web_demo_internlm.py
+```
+
+
 ### Deployment
 
 We use [LMDeploy](https://github.com/InternLM/LMDeploy) to complete the one-click deployment of InternLM.

web_demo.py

@@ -53,9 +53,9 @@ system_meta_instruction = (
 - InternLM (书生·浦语) can understand and communicate fluently in the language chosen by the user such as English and 中文.
 """
 )
-user_prompt = "<|User|>:{user}<eoh>\n"
+user_prompt = "<|User|>:{user}\n"
 robot_prompt = "<|Bot|>:{robot}<eoa>\n"
-cur_query_prompt = "<|User|>:{user}<eoh>\n<|Bot|>:"
+cur_query_prompt = "<|User|>:{user}\n<|Bot|>:"
 
 
 def combine_history(prompt):

web_demo_internlm.py

@@ -92,9 +92,9 @@ system_meta_instruction = (
 - InternLM (书生·浦语) can understand and communicate fluently in the language chosen by the user such as English and 中文.
 """
 )
-user_prompt = "<|User|>:{user}<eoh>\n"
+user_prompt = "<|User|>:{user}\n"
 robot_prompt = "<|Bot|>:{robot}<eoa>\n"
-cur_query_prompt = "<|User|>:{user}<eoh>\n<|Bot|>:"
+cur_query_prompt = "<|User|>:{user}\n<|Bot|>:"
 
 
 def combine_history(prompt):