JerryWang_SAP 阅读(163) 评论(0)

关于这个例子的完整介绍,请参考公众号 “汪子熙”的两篇文章:

 

SAP C/4HANA与人工智能和增强现实(AR)技术结合的又一个创新案例

和使用Recast.AI创建具有人工智能的聊天机器人:

 

本文介绍如何用Java代码同recast.AI网站上创建好的模型交互。

我创建了一个名为get-product-infomation的机器学习模型,用"Add an expression"下面的这么多句子去喂这个模型:

 

一会测试时,我会用这个句子进行测试 " I am looking for some materials", 所以先记下来。

 

如果任意输入一句话,recast.AI识别出来意图为get-product-infomation, 我希望AI自动返回一些句子,这些句子定义在recast.AI模型的Actions标签页下面:

 

比如这个Actions模型的意思是,从Sure, what type of product are you going to produce?和Cool, what products do you want to produce?里随机挑选一句返回。

下图右半部份是recast.AI的测试控制台。

 

下面是用Java代码方式消费这个人工智能模型的例子:

public class RecastAIService {

private final static String RECAST_AI_URL = "外链网址已屏蔽";

private final static String DEVELOPER_TOKEN = "Token feb6b413a1a8cf8efdd53f48ba1d4";

public Answer dialog(final String content, final String conversationId) throws ClientProtocolException, IOException{

CloseableHttpClient httpClient = HttpClients.createDefault();

HttpPost postRequest = new HttpPost(RECAST_AI_URL);

postRequest.addHeader("Authorization", DEVELOPER_TOKEN);

postRequest.addHeader("Content-Type", "application/json");

String body = "{"message": {"content":""

+ content

+ "","type":"text"}, "conversation_id": ""

+ conversationId

+""}";

HttpEntity entity = new StringEntity(body);

postRequest.setEntity(entity);

HttpResponse response = httpClient.execute(postRequest);

if(response.getStatusLine().getStatusCode() == 200){

String result = EntityUtils.toString(response.getEntity());

JSONObject resultJsonObj = JSON.parseObject(result);

JSONObject results = (JSONObject) resultJsonObj.get("results");

JSONArray messages = results.getJSONArray("messages");

JSONObject nlp = (JSONObject) results.get("nlp");

JSONArray intents = nlp.getJSONArray("intents");

Answer answer = new Answer();

if (null != messages && messages.size() > 0){

JSONObject messageJson = messages.getJSONObject(0);

answer.setContent(messageJson.getString("content"));

}

if (null != intents && intents.size() > 0){

JSONObject intentJson = intents.getJSONObject(0);

answer.setIntent(intentJson.getString("slug"));

}

return answer;

}

logger.debug("Failed to access recastai. The response code is" + response.getStatusLine().getStatusCode());

return null;

}

测试代码:

 

传入I am looking for some materials,recast.AI解析出这个句子的意图有99%的可能性是get-product-information:

 

Java代码返回的句子也确实是recast.AI模型里维护的回复之一:

 

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