January 2023
Intermediate to advanced
288 pages
6h 6m
Chinese
Content preview from 移动端AI与ML应用开发：基于iOS和Android
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iOS
上使用
ML Kit
的文本处理应用程序
|
123
图
7-7
：模拟一个对话
7.3.4
第
4
步：获取智能回复
既然你有一个对话并且它存储为一组
TextMessage
类型，那么你只需调用
SmartReply.
smartReply()
并使用该对话的
suggestReplies
方法来获取一组智能回复。之前，在按
钮动作中，你编写了
getSmartReply()
来调用。现在你可以创建该函数，并让它调用智
能回复模型：
private func getSmartReply(){
SmartReply.smartReply().suggestReplies(for: conversation)
{ result, error in
guard error == nil, let result = result else { return }
这将获得针对你的对话的建议回复，如果没有错误，它们将出现在结果变量中。
result
是一个建议类型列表，其中包含一个带有建议内容的
suggestion.text
属性。因此，如
果你想创建所有建议回复的文本列表，只需要以下代码：
var strSuggestedReplies = "Suggested Replies:"
if (result.status == .notSupportedLanguage) {
// The conversation's language isn't supported, so
// the result doesn't contain ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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