semvec/pypi-packages huggingface dataset:
customner 0.0.4
Custom Name Entity Recognition Data Preparation Library for Medical Dataset

# customner

This is an nlp library which used to convert the tsv file format to required format for Name Entity Recognition

## Installation

Run the following to install:

```python
pip install customner
```

## Usage

```python
import customner

# Generate training set as per spacy format for medical dataset
training_data,unique_labels=load_spacy_data(tsv_file_path)
```
intent-p 0.0.1
A package to detect intent from utterances.
Requires Python: >=3.6

# Intent Predictor

This is a package to detect intent of utterances, trained on the SNIPS dataset.

It can detection any of the following intents in an input utterance:
1. PlayMusic	
2. GetWeather	
3. BookRestaurant	
4. RateBook	
5. SearchScreeningEvent	
6. SearchCreativeWork	
7. AddToPlaylist	

Example usage:

import intent_predictor
predictor = intent_predictor.Predictor()
confidence, pred_intent = predictor("find animated movies playing near me")

[Gitlab-flavored Markdown](https://gitlab.com/AlphaDino/commercebot/-/tree/master/Direct%20Contact%20Intent%20Detection)
intent-predictor 0.0.1
A package to detect intent from utterances.
Requires Python: >=3.6

# Intent Predictor

This is a package to detect intent of utterances, trained on the SNIPS dataset.

It can detection any of the following intents in an input utterance:
1. PlayMusic	
2. GetWeather	
3. BookRestaurant	
4. RateBook	
5. SearchScreeningEvent	
6. SearchCreativeWork	
7. AddToPlaylist	

Example usage:

import intent_predictor
predictor = intent_predictor.Predictor()
confidence, pred_intent = predictor("find animated movies playing near me")

[Gitlab-flavored Markdown](https://gitlab.com/AlphaDino/commercebot/-/tree/master/Direct%20Contact%20Intent%20Detection)
gdriveplotter 0.2
Reads Gsheets from Gdrive and Plots graph

# Gdriveplotter

## Introduction
This is a basic project built to read google sheet from google drive using the google credentials and google sheet key. The library can plot 2 types of graphs i.e. line plot and scatter plot.


## Files
**README.md**  -> File describing the project  
**setup.py** ->setup file to create a Python Library and host it on PyPi  
**test.py** ->test file to check if the program is working or not  

## Gdriveplotter
**__init__.py**  -> file where the program is implemented
**Screenshots**  -> Added screenshots of the working library

## Getting Started
The user will have to login to the below link.
```bash
    https://console.developers.google.com
 ```
    
After which the user has to do the following:
1. Create a new project
2. Add Google Drive API and Gsheet API
3. Go to Credentials and create a Service account
4. Get the key by downloading the json file
5. Use this file as Credentials for using the library



## __init__.py file
This file contains a function named **gdplot()**. The library is built to ask the user to enter their credentials and Gsheet key to read the gsheet. The function will print out the head of the dataframe using pandas. Another input is taken from the user to mention the type of graph required i.e. Line plot or Scatter plot. After which the user has to mention the x-axis column name and y-axis column name and the function plots out the required graph.


## Creating Python Library and Publishing on PyPI
Here is the link which will help you to create python library and publishing it on PyPI
```bash
    https://medium.com/little-big-engineering/lets-talk-about-python-packaging-6d84b81f1bb5
```

## Installing the Library from PyPI
pip install gdriveplotter

## Importing and calling the function
```bash
    import gdriveplotter
    gdriveplotter.gdplot()

```

## Pypi Link
```bash
    https://pypi.org/project/gdriveplotter/
```

## Note
The file should be in gsheet format to work. It wont work for any other format.