如何对 rasa nlu trainer 进行 CURL 调用

Question

我在 xxxx 上有 rasa nlu trainer 运行 port.I 每当从我的应用程序（流星）调用 rasa nlu trainer.I 时，我想用不同的来源喂养 nlu trainer对 nlu 训练器的 curl 请求，但我们如何使用 curl 命令输入 rasa nlu 训练器的 --source 标志？

或者我是否有另一种选择来为 rasa nlu 训练器提供来自我的流星应用程序的动态源路径？请指导我。

Answer 1

As mentioned in their official documentation, you can make cURL Requests to RASA NLU using the /train endpoint. Its a HTTP POST request, so make sure sending the corpus as request body.
$ curl -XPOST localhost:5000/train?project=my_project -d @data/examples/rasa/demo-rasa.json

或者，您可以这样做：

创建一个用于训练 RASA 的批处理文件，例如 TrainRASA.bat，它将包含以下 python 命令：

cd <Your Path>
python -m rasa_nlu.train -c config_spacy.json

制作config_spacy.json文件如下：

{
    "project": "Travel",
    "pipeline": "spacy_sklearn",
    "language": "en",
    "num_threads": 1,
    "max_training_processes": 1,
    "path": "C:\Users\Kunal\Desktop\RASA\models",
    "response_log": "C:\Users\Kunal\Desktop\RASA\log",
    "config": "C:\Users\Kunal\Desktop\RASA\config_spacy.json",
    "log_level": "INFO",
    "port": 5000,
    "data": "C:\Users\Kunal\Desktop\RASA\data\FlightBotFinal.json",
    "emulate": "luis",
    "spacy_model_name": "en",
    "token": null,
    "cors_origins": ["*"],
    "aws_endpoint_url": null
  }

现在制作一个 C# Web API 来训练您的 RASA 模型，如下所示：

[HttpGet]
[Route("api/TrainRASA")]
[EnableCors("*", "*", "*")]
public Task TrainRASA([FromUri] string BatchFilePath, [FromUri] string BatchFileDirectory)
{
            try
            {
             return Task.Run(() => 
              {
                ProcessStartInfo startInfo = new ProcessStartInfo()
                {
                    FileName = BatchFilePath,
                    CreateNoWindow = false,
                    UseShellExecute = true,
                    WindowStyle = ProcessWindowStyle.Normal,
                    WorkingDirectory = BatchFileDirectory
                };

                // Start the process with the info we specified.
                // Call WaitForExit and then the using-statement will close.
                using (System.Diagnostics.Process exeProcess = System.Diagnostics.Process.Start(startInfo))
                {
                    exeProcess.WaitForExit();
                }
           });
         }
            catch (Exception ex)
            {
                throw;
            }
}

现在只需从 Chrome 将批处理文件目录作为参数传递给 HTTP GET。

如何对 rasa nlu trainer 进行 CURL 调用

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