Metadata-Version: 2.1
Name: typegenie
Version: 0.2.1
Summary: Client Library for TypeGenie API. Check out https://api.typegenie.net for more info.
Home-page: https://github.com/abhitopia/TypeGenieApiClient
Author: abhitopia
Author-email: hi@typegenie.net
License: UNKNOWN
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
Requires-Dist: requests (>=2.25.1)
Requires-Dist: click (>=8.0.1)
Requires-Dist: python-box (>=5.3.0)
Requires-Dist: prompt-toolkit (>=3.0.18)
Requires-Dist: colorama (>=0.4.4)

# TypeGenieAPIClient
Python API client to access TypeGenie API. 

# Documentation
Check out detailed API documentation at [https://api.typegenie.net](https://api.typegenie.net)

## Installation
Run the following to install:

`pip install typegenie`


## Using `typegenie-cli`
Once a model has been deployed, you can use `typegenie-cli` to test the model quality. 

```bash
typegenie-cli -dsi <DATASET-ID> -dpi <DEPLOYMENT-ID> -u <ACCOUNT-USER-ID> -p <PASSWORD> -ui <USER-ID> --multiline
```

where `<USER-ID>` is the id of the user that exists within the deployment `<DEPLOYMENT-ID>` The tool
 randomly samples dialogues from the given dataset, and shows messages with different colors.

Use `ctr+c` to start a new dialogue and `ctr+c` twice to exit. 


