format code and add one problem to llm riddle

README.md

@@ -202,7 +202,7 @@ CPU docker image
 registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-py37-torch1.11.0-tf1.15.5-1.6.1
 
 # py38
-registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-py38-torch1.11.0-tf1.15.5-1.6.1
+registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-py38-torch2.0.1-tf2.13.0-1.9.5
 ```
 
 GPU docker image
@@ -211,7 +211,7 @@ GPU docker image
 registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-cuda11.3.0-py37-torch1.11.0-tf1.15.5-1.6.1
 
 # py38
-registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-cuda11.3.0-py38-torch1.11.0-tf1.15.5-1.6.1
+registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-cuda11.8.0-py38-torch2.0.1-tf2.13.0-1.9.5
 ```
 
 ## Setup Local Python Environment
@@ -220,7 +220,7 @@ One can also set up local ModelScope environment using pip and conda.  ModelScop
 We suggest [anaconda](https://docs.anaconda.com/anaconda/install/) for creating local python environment:
 
 ```shell
-conda create -n modelscope python=3.9
+conda create -n modelscope python=3.8
 conda activate modelscope
 ```
 

README_ja.md

@@ -208,7 +208,7 @@ CPU docker イメージ
 registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-py37-torch1.11.0-tf1.15.5-1.6.1
 
 # py38
-registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-py38-torch1.11.0-tf1.15.5-1.6.1
+registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-py38-torch2.0.1-tf2.13.0-1.9.5
 ```
 
 GPU docker イメージ
@@ -217,7 +217,7 @@ GPU docker イメージ
 registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-cuda11.3.0-py37-torch1.11.0-tf1.15.5-1.6.1
 
 # py38
-registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-cuda11.3.0-py38-torch1.11.0-tf1.15.5-1.6.1
+registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-cuda11.8.0-py38-torch2.0.1-tf2.13.0-1.9.5
 ```
 
 ## ローカル Python 環境のセットアップ

README_zh.md

@@ -53,19 +53,19 @@ ModelScope开源了数百个(当前700+)模型，涵盖自然语言处理、计
 自然语言处理：
 
 * [ChatGLM3-6B](https://modelscope.cn/models/ZhipuAI/chatglm3-6b/summary)
-  
+
 * [Qwen-14B-Chat](https://modelscope.cn/models/qwen/Qwen-14B-Chat/summary)
-  
+
 * [Baichuan2-13B-Chat](https://modelscope.cn/models/baichuan-inc/Baichuan2-13B-Chat/summary)
-  
+
 * [Ziya2-13B-Chat](https://modelscope.cn/models/Fengshenbang/Ziya2-13B-Chat/summary)
-  
+
 * [Internlm-chat-20b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm-chat-20b/summary)
-  
+
 * [Udever-bloom-1b1](https://modelscope.cn/models/damo/udever-bloom-1b1/summary)
-  
+
 * [CoROM文本向量-中文-电商领域-base](https://modelscope.cn/models/damo/nlp_corom_sentence-embedding_chinese-base-ecom/summary)
-  
+
 * [MGeo地址相似度匹配实体对齐-中文-地址领域-base](https://modelscope.cn/models/damo/mgeo_geographic_entity_alignment_chinese_base/summary)
 
 多模态：
@@ -84,7 +84,7 @@ ModelScope开源了数百个(当前700+)模型，涵盖自然语言处理、计
 计算机视觉：
 
 * [DamoFD人脸检测关键点模型-0.5G](https://modelscope.cn/models/damo/cv_ddsar_face-detection_iclr23-damofd/summary)
-  
+
 * [BSHM人像抠图](https://modelscope.cn/models/damo/cv_unet_image-matting/summary)
 
 * [DCT-Net人像卡通化-3D](https://modelscope.cn/models/damo/cv_unet_person-image-cartoon-3d_compound-models/summary)
@@ -195,7 +195,7 @@ CPU镜像
 registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-py37-torch1.11.0-tf1.15.5-1.6.1
 
 # py38
-registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-py38-torch1.11.0-tf1.15.5-1.6.1
+registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-py38-torch2.0.1-tf2.13.0-1.9.5
 ```
 
 GPU镜像
@@ -204,14 +204,14 @@ GPU镜像
 registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-cuda11.3.0-py37-torch1.11.0-tf1.15.5-1.6.1
 
 # py38
-registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-cuda11.3.0-py38-torch1.11.0-tf1.15.5-1.6.1
+registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-cuda11.8.0-py38-torch2.0.1-tf2.13.0-1.9.5
 ```
 
 ## 搭建本地Python环境
 
-你也可以使用pip和conda搭建本地python环境，我们推荐使用[Anaconda](https://docs.anaconda.com/anaconda/install/)，安装完成后，执行如下命令为modelscope library创建对应的python环境：
+你也可以使用pip和conda搭建本地python环境，ModelScope支持python3.7+以上环境，我们推荐使用[Anaconda](https://docs.anaconda.com/anaconda/install/)，安装完成后，执行如下命令为modelscope library创建对应的python环境：
 ```shell
-conda create -n modelscope python=3.7
+conda create -n modelscope python=3.8
 conda activate modelscope
 ```
 

examples/apps/llm_riddles/app.py

@@ -115,8 +115,8 @@ def generate_response(input, model_name):
 def on_submit(input, model_name, state):
     # model_name = os.environ.get('MODEL', 'qwen-plus')
     name_map = {
-        '通义千问max': 'qwen-max',
-        '通义千问plus': 'qwen-plus',
+        'qwen-max': 'qwen-max',
+        'qwen-plus': 'qwen-plus',
         'chatglm-turbo': 'chatglm_turbo',
     }
     gen_fn = functools.partial(
@@ -176,8 +176,8 @@ with block as demo:
 
     model_selector = gr.Dropdown(
         label='选择模型',
-        choices=['通义千问max', '通义千问plus', 'chatglm-turbo'],
-        value='通义千问plus')
+        choices=['qwen-max', 'qwen-plus', 'chatglm-turbo'],
+        value='qwen-max')
     question_info = gr.Markdown(
         update_question_info(current_chapter_index, current_challenge_index))
     challenge_info = gr.Textbox(

examples/apps/llm_riddles/challenges/ch3.py

@@ -1,4 +1,5 @@
 import re
+import unicodedata
 
 
 def validate_palindrome_inverse(origin_input, response, generate_response):
@@ -86,5 +87,15 @@ challenge3 = {
             (all(char not in input
                  for char in ['狗', '汪', 'dog']) and response.strip() == '汪~')
         },
+        {
+            'title':
+            '第7题 魔搭 （🐶）',
+            'description':
+            '请提一个不包含任何中文字符、换行或空格的问题，使模型正好回答"魔搭"。',
+            'validator':
+            lambda response, input: not any(
+                'CJK' in unicodedata.name(char, '') or char in '\t\n '
+                for char in input) and (response.strip() == '魔搭')
+        },
     ]
 }