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如何在Google智能助理上部署我的聊天机器人模型?

[英]How do I deploy my chatbot model on google assistant?

I have developed my chatbot in PyTorch framework for college purposes. 我已经在PyTorch框架中为大学目的开发了我的聊天机器人。 The model is working fine with log loss value of 0.5 and is able to answer questions appropriately. 该模型工作正常,日志损失值为0.5,能够适当地回答问题。 I have seen few productionization suggestions like fast.ai, flask and Django. 我见过很少的生产建议,比如fast.ai,flask和Django。 But I want the model to be deployed on Google Assistant so that my end users can utilize the service of bot without any external installations. 但是我希望将模型部署在Google智能助理上,以便我的最终用户可以在没有任何外部安装的情况下使用僵尸网络服务。 How do I have to integrate my PyTorch model to the Google Assistant on Dialogflow ? 如何将我的PyTorch模型与Dialogflow上的Google智能助理集成?

Google has published a series of Codelabs to help developers start building actions for the Google Assistant. Google已发布一系列Codelabs,以帮助开发人员开始为Google智能助理构建操作。 Each module can be taken standalone or in a learning sequence with other modules. 每个模块可以单独使用,也可以与其他模块一起学习。

In each module, the codelabs provide you with end-to-end instructions on how to build Actions from given software requirements and how to test your code. 在每个模块中,codelabs为您提供有关如何根据给定的软件需求构建操作以及如何测试代码的端到端指令。 They also teach the necessary concepts and best practices for implementing Actions that give users high-quality conversational experiences. 他们还教授实施行动的必要概念和最佳实践,为用户提供高质量的会话体验。

You can start here . 你可以从这里开始。

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