Metadata-Version: 2.1
Name: tqatest
Version: 0.0.27
Summary: Backend module for testing project
Author: QA
Requires-Python: >=3.7,<4.0
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Dist: fastapi[testclient] (>=0.68.1,<0.69.0)
Requires-Dist: joblib (>=1.0.1,<2.0.0)
Requires-Dist: loguru (>=0.4.0,<0.5.0)
Requires-Dist: pydantic (>=1.3,<2.0)
Requires-Dist: pytest (>=6.2.4,<7.0.0)
Requires-Dist: requests (>=2.22.0,<3.0.0)
Requires-Dist: uvicorn (>=0.11.1,<0.12.0)
Description-Content-Type: text/markdown

# backend-module

Main backend module, which is used for developing web-app logic and deploying AI model.

## Installation
Run the following to install:
```python
pip install anscenter
```

## Usage
```python
from anscester.predict import MachineLearningModel

# Generate model
model = MachineLearningModel()

# Using Example
data_input = [1.0, 2.0, 3.0, 4.0]
result = model.predict(data_input)
print(result)
```

## Developing HelloG
To install helloG, along with the tools you need to develop and run tests, run the following in your virtualenv:
```bash
$ pip install anscenter[dev]
```
