public Indico.Entity.ModelGroup GetModelGroup(int mgId)
{
try
{
//TODO: Map this to a local model so it's easier to deal with in UIPath
Indico.Entity.ModelGroup mg = Client.ModelGroupQuery(mgId).Exec();
return(mg);
}
catch (AggregateException sae)
{
Console.WriteLine("Call failed " + sae.ToString());
throw new IndicoActivityException();
}
}
/*
* To actually run this example, you'll need to train a sequence
* model on the Indico IPA Platform with the labeled-swaps-200.csv
* file contained with this repo. Be aware that training will likely
* take a couple hours. Once training is complete, you can run the
* example by passing in the directory of the two sample PDF files in
* the repo (Confirmation letter and Confirmation of Interest Rate Swap).
*
* Before running, replace the Model Group ID (mgId) with the
* ID for your trained model. You can find it on the model's Review page.
*/
async static Task Main(string[] args)
{
// Replace this with your Model Group ID
int mgId = 4352;
List <string> targetFiles = GetTargetFiles(args[0]);
if (targetFiles.Count == 0)
{
Console.WriteLine("No files to process");
Environment.Exit(0);
}
IndicoClient client = new IndicoClient();
JObject extractConfig = new JObject()
{
{ "preset_config", "legacy" }
};
List <string> texts = new List <string>();
DocumentExtraction ocrQuery = client.DocumentExtraction(extractConfig);
foreach (string path in targetFiles)
{
Console.WriteLine(path);
Job ocrJob = await ocrQuery.Exec(path);
JObject result = await ocrJob.Result();
string resUrl = (string)result.GetValue("url");
Blob blob = await client.RetrieveBlob(resUrl).Exec();
JObject obj = blob.AsJSONObject();
texts.Add((string)obj.GetValue("text"));
}
ModelGroup mg = await client.ModelGroupQuery(mgId).Exec();
string status = await client.ModelGroupLoad(mg).Exec();
Console.WriteLine($"Model status = {status}");
Job job = await client.ModelGroupPredict(mg).Data(texts).Exec();
JArray jobResult = await job.Results();
Console.WriteLine(jobResult);
}
/*
* Get the progress (% complete) of a training model group. This
* is handy as some sequence models can take a very long time (hours)
* to train. Pass your model's Model Group ID on the command line.
* You can find the model group ID on your model's Review page.
*/
private static async Task Main(string[] args)
{
if (args.Length == 0)
{
Console.WriteLine("Please provide a model group id");
Environment.Exit(0);
}
int mgId = Int32.Parse(args[0]);
var config = new IndicoConfig(
host: "app.indico.io"
);
var client = new IndicoClient(config);
var mg = await client.ModelGroupQuery(mgId).Exec();
var trainingStatus = await client.TrainingModelWithProgressQuery(mg).Exec();
Console.WriteLine(mg.Name);
Console.WriteLine(trainingStatus);
}
/*
* To actually run this example, you need to train a classifier in
* the Indico IPA Platform using the reviews.csv file included in
* this repo. After the model is trained, just pass its model group
* ID into this sample as a command line arg. You can find the model
* group ID on your trained model's Review page.
*/
private static async Task Main(string[] args)
{
int mgId = -1;
if (args.Length != 1)
{
Console.WriteLine("Please provide model group and selected model IDs");
System.Environment.Exit(0);
}
else
{
mgId = Int32.Parse(args[0]);
}
var config = new IndicoConfig(
host: "app.indico.io"
);
var client = new IndicoClient(config);
var mg = await client.ModelGroupQuery(mgId).Exec();
// Load Model
string status = await client.ModelGroupLoad(mg).Exec();
var reviews = new List <string>()
{
"This was the best food of our trip. Fantastic experience!",
"The service was rude and the food was awful. Don\'t waste your time!"
};
var job = await client.ModelGroupPredict(mg).Data(reviews).Exec();
var jobResult = await job.Results();
Console.WriteLine(jobResult);
}
static void getModelGroup(IndicoClient client, int mgId)
{
ModelGroup mg = client.ModelGroupQuery(mgId).Exec();
Console.WriteLine(mg.ToString());
}
