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移动端AI与ML应用开发:基于iOS和Android
book

移动端AI与ML应用开发:基于iOS和Android

by Laurence Moroney
January 2023
Intermediate to advanced
288 pages
6h 6m
Chinese
China Machine Press
Content preview from 移动端AI与ML应用开发:基于iOS和Android
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5
因此,现在我们有一个由为本地或远程用户创建的
TextMessage
组成的对话,我们便可
以使用它来生成预测的下一个文本。
5.3.3
生成智能回复
5-4 中显示的应用程序可在本书的 GitHub 存储库中找到。在该屏幕截图中,你可以
看到“生成回复”按钮
为了获得智能回复,你只需在此按钮的
OnClickListener
数中使用
SmartReply.getClient()
来初始化智能回复客户端。
你将对话传递给它的
suggestReplies
方法,如果有一个成功的推理,那么你会得到一
个结果对象:
val smartReplyGenerator = SmartReply.getClient()
smartReplyGenerator.suggestReplies(conversation)
.addOnSuccessListener { result ->
}
这个结果对象包含一个建议列表,每个列表都包含一个带有建议文本的文本属性。因
此,你可以使用评分最高的回复来设置
EditText
控件的内容,如下所示:
txtInput.setText(result.suggestions[0].text.toString())
如果你愿意,可以遍历它们中的每一个并生成某种选择器,用户可以在其中选择他们想
要接受的建议。
5.4
总结
在本章中,你了解了如何开始使用 ML 模型或一组模型已经可供你处理文本的多个场
景。你首先查看完整字符串并从中解析常见实体,例如地址和电话号码。然后,你探索了 ...
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Publisher Resources

ISBN: 9787111713081