Add a demo video in README.md of both the repo and werewolf game (#257)

* Add video in README.md

* Add video README.md in werewolf game

README.md

@@ -35,6 +35,12 @@ Welcome to join our community on
 
 - <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>**[2024-05-15]** A new **Parser Module** for **formatted response** is added in AgentScope! Refer to our [tutorial](https://modelscope.github.io/agentscope/en/tutorial/203-parser.html) for more details. The [`DictDialogAgent`](https://github.com/modelscope/agentscope/blob/main/src/agentscope/agents/dict_dialog_agent.py) and [werewolf game](https://github.com/modelscope/agentscope/tree/main/examples/game_werewolf) example are updated simultaneously.
 
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+https://github.com/DavdGao/AgentScope/assets/102287034/d9acf581-20d2-4294-8d10-97cde6c653c7
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 - <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>**[2024-05-14]** Dear AgentScope users, we are conducting a survey on **AgentScope Workstation & Copilot** user experience. We currently need your valuable feedback to help us improve the experience of AgentScope's Drag & Drop multi-agent application development and Copilot. Your feedback is valuable and the survey will take about 3~5 minutes. Please click [URL](https://survey.aliyun.com/apps/zhiliao/vgpTppn22) to participate in questionnaire surveys. Thank you very much for your support and contribution!
 
 - <img src="https://img.alicdn.com/imgextra/i3/O1CN01SFL0Gu26nrQBFKXFR_!!6000000007707-2-tps-500-500.png" alt="new" width="30" height="30"/>**[2024-05-14]** AgentScope supports **gpt-4o** as well as other OpenAI vision models now! Try gpt-4o with its [model configuration](./examples/model_configs_template/openai_chat_template.json) and new example [Conversation with gpt-4o](./examples/conversation_with_gpt-4o)!

examples/game_werewolf/README.md

@@ -22,6 +22,15 @@ More details please refer to our tutorial:
 - [Parser](https://modelscope.github.io/agentscope/en/tutorial/203-parser.html)
 - [Pipeline and msghub](https://modelscope.github.io/agentscope/en/tutorial/202-pipeline.html)
 
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 ## Tested Models
 
 This example has been tested with the following models:
@@ -68,4 +77,4 @@ wolves_vote_parser = MarkdownJsonDictParser(
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 ```
 
-In this example, the `MarkdownJsonDictParser` is used to parse the agent's response. The `content_hint` parameter specifies the expected fields and their descriptions. The `required_keys` parameter indicates the mandatory fields in the response. The `keys_to_memory` and `keys_to_content` parameters determine which fields should be stored in memory and included in the content of the returned message, respectively.
+In this example, the `MarkdownJsonDictParser` is used to parse the agent's response. The `content_hint` parameter specifies the expected fields and their descriptions. The `required_keys` parameter indicates the mandatory fields in the response. The `keys_to_memory` and `keys_to_content` parameters determine which fields should be stored in memory and included in the content of the returned message, respectively.