# TagUI

Using aito.ai from the open-source RPA tool [TagUI](https://github.com/kelaberetiv/TagUI) is simple! This example uses an existing dataset in a demo instance, containing some thousands of purchase invoices that have already been categorised for `Product_Category` and `GL_Account`.

#### Uploading data to Aito

{% hint style="info" %}
**EVOLVING ARTICLE**

This article will evolve over time and contain more examples and material later. Data upload part will be added later.
{% endhint %}

#### Making predictions

Using aito.ai predictions as part of the TagUI workflows is as simple as using the built-in [api](https://tagui.readthedocs.io/en/latest/reference.html#api) keyword.

First, construct the Aito query using your input data for the predictions. For example like this:

```json
// Construct a predict query from your input data
linetext = "Rental car New York May 2021"
amount = 34.22
query = {"from": "invoice_data", "where": {"Item_Description": linetext, "Inv_Amt": amount}, "predict": "GL_Code", "limit": 1}
```

Next, consigure the HTTP call headers:

```json
// Configure HTTP headers
api_config = {method:'POST', header:['x-api-key: bvss2i2dIkaWUfBCdzEO89LpxUkwO3A24hYg8MBq','content-type: application/json'], body:query};
```

Then make a call using the `api` keyword. Note that the API key and the aito.ai instance in use here are publicly available for testing. Get your own instance for free at [Console](https://console.aito.ai/).

```json
// Make API call to Aito predict endpoint
api https://public-1.api.aito.ai/api/v1/_predict
```

The use of results is simple, as TagUI automatically returns the JSON version of the response as `api_json`. Here is where you would find the top result's predicted value and confidence:

```json
// Print out the top feature and confidence.
echo Aito predicts `api_json.hits[0].feature` with confidence `api_json.hits[0].$p`
```

#### All the code together

The entire code is here, try running it yourself! :)

```json
// This flow demonstrates the usage of Aito.ai _predict API endpoint with table already existing in Aito

// Construct a query from your input data
linetext = "Rental car New York May 2021"
amount = 34.22
query = {"from": "invoice_data", "where": {"Item_Description": linetext, "Inv_Amt": amount}, "predict": "GL_Code", "limit": 1}

// Configure HTTP headers
api_config = {method:'POST', header:['x-api-key: bvss2i2dIkaWUfBCdzEO89LpxUkwO3A24hYg8MBq','content-type: application/json'], body:query};

// Make API call to Aito predict endpoint
api https://public-1.api.aito.ai/api/v1/_predict

// Print out the top feature and confidence.
echo Aito predicts `api_json.hits[0].feature` with confidence `api_json.hits[0].$p`
```