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@@ -96,18 +96,6 @@ for response, history in model.stream_chat(tokenizer, "Hello", history=[]):
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  length = len(response)
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  ```
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- ### Dialogue
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-
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- You can interact with the InternLM Chat 7B model through a frontend interface by running the following code:
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- ```bash
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- pip install streamlit==1.24.0
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- pip install transformers==4.30.2
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- streamlit run web_demo.py
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- ```
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- The effect is as follows
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-
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- ![demo](https://github.com/InternLM/InternLM/assets/9102141/11b60ee0-47e4-42c0-8278-3051b2f17fe4)
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-
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  ## Open Source License
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  The code is licensed under Apache-2.0, while model weights are fully open for academic research and also allow **free** commercial usage. To apply for a commercial license, please fill in the [application form (English)](https://wj.qq.com/s2/12727483/5dba/)/[申请表(中文)](https://wj.qq.com/s2/12725412/f7c1/). For other questions or collaborations, please contact <internlm@pjlab.org.cn>.
@@ -179,17 +167,6 @@ for response, history in model.stream_chat(tokenizer, "你好", history=[]):
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  length = len(response)
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  ```
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- ### 通过前端网页对话
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- 可以通过以下代码启动一个前端的界面来与 InternLM Chat 7B 模型进行交互
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- ```bash
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- pip install streamlit==1.24.0
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- pip install transformers==4.30.2
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- streamlit run web_demo.py
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- ```
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- 效果如下
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-
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- ![效果](https://github.com/InternLM/InternLM/assets/9102141/11b60ee0-47e4-42c0-8278-3051b2f17fe4)
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-
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  ## 开源许可证
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  本仓库的代码依照 Apache-2.0 协议开源。模型权重对学术研究完全开放,也可申请免费的商业使用授权([申请表](https://wj.qq.com/s2/12725412/f7c1/))。其他问题与合作请联系 <internlm@pjlab.org.cn>。
 
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  length = len(response)
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  ```
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  ## Open Source License
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  The code is licensed under Apache-2.0, while model weights are fully open for academic research and also allow **free** commercial usage. To apply for a commercial license, please fill in the [application form (English)](https://wj.qq.com/s2/12727483/5dba/)/[申请表(中文)](https://wj.qq.com/s2/12725412/f7c1/). For other questions or collaborations, please contact <internlm@pjlab.org.cn>.
 
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  length = len(response)
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  ```
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  ## 开源许可证
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  本仓库的代码依照 Apache-2.0 协议开源。模型权重对学术研究完全开放,也可申请免费的商业使用授权([申请表](https://wj.qq.com/s2/12725412/f7c1/))。其他问题与合作请联系 <internlm@pjlab.org.cn>。