semvec/pypi-packages huggingface dataset:
artha 0.1.2
Project अर्थ
License: MIT
Requires Python: >=3.11
Keywords: language-processing, nlp, sanskrit

# Project अर्थ (Artha)

Code for `artha`.

```sh
pip install artha
```

## Development

I have tried to follow the best practices so things are much more sorted out. Here's a few commands that you should run in order to get started:

1. `make setup`: This will take care of installing `uv` and creating the virtual environment. I have used `uv` for this project.
2. `artha-cli serve`: This will start the server.
3. `make build_frontend`: This will build the react frontend and copy the files to the `artha/ui` folder.
noahs-simple-sentiment-classifier 0.1.1
A combination of classification implementations for finding if text is 'friendly', 'hostile', or 'neutral'
License: MIT
Requires Python: >=3.9





# Noah's Simple Sentiment Classifier

A super simple implementation of the textblob polarity classifier

## Installation

```bash
pip install noahs_simple_sentiment_classifier
```

## Code Sample

```python
from noahs_simple_sentiment_classifier import classify

value = classify("i hate you")
# value will be either "hostile","friendly","neutral"
print(value)

```