semvec/pypi-packages huggingface dataset:
goecharger 0.1.0
A Python API for accessing the go-eCharger EV-Charger
Requires Python: >=3.6

# goecharger API (WIP)
Python API for accessing the go-eCharger EV-Charger via the local http-Endpoint

Tested with the "[go-eCharger HOME+](https://go-e.co/en/go-echarger-home-2/)" CEE-Version

# Warning: WIP - Breaking changes possible
This is the first version of the API so there are still breaking chnages possible eg. output parameter names or values.

# Links
[Product Homepage](https://go-e.co/en/go-echarger-home-2/)

[API-Documentation](https://go-e.co/app/api.pdf)

[Project Homepage](https://github.com/cathiele/goecharger)

[PyPi Package](https://pypi.org/project/goecharger/)

[Home Assistant Integration](https://github.com/cathiele/homeassistant-goecharger)

[goecharger CLI App](https://github.com/cathiele/goecharger-client) (TBD / WIP)

# Features
- Query Charger Status
- Set Charger Configuration

# Install

```
pip install goecharger
```

# Example

```python
from goecharger import GoeCharger

charger = GoeCharger('192.168.1.1') # <- change to your charger IP
 
print (charger.requestStatus())
```
GesundheitPerTuttiSaraPi 0.2.3
Gesundheit per tutti
Requires Python: >=3.6

# Gesundheit për tutti

This project consists in a chatbot that aims to help people that may have some limits to access information about services related to health in South Tyrol, such as medical services, available doctors and open pharmacies. The program accepts text, audio and image input in different languages. The user will get the results as on-screen text or audio according to his/her input and language choice.

Since the aim of this project is to improve accessibility, this chatbot can be easily used by immmigrants, teenagers, elderly people or phisically challenged people.

Once the package is installed, make sure that the following dependencies are installed:

      - pip install googletrans==3.1.0a0 (to be installed manually)
      - pip install ibm_watson (to be installed manually)
      - pip install word2number (to be installed manually)
  

API and libraries used in the code:

    - Translator (from googletrans)
    - gTTS (from gtts)
    - SpeechToTextV1 (from ibm_watson)
    - IAMAuthenticator (from ibm_cloud_sdk_core.authenticators)
    - easyocr (from easyocr)
    - w2n (from word2number)
    - Health services http://dati.retecivica.bz.it/it/dataset southtyrolean-health-activities-list
    - Available doctors http://dati.retecivica.bz.it/it/dataset/southtyrolean-doctors-on-duty
    - Open pharmacies http://dati.retecivica.bz.it/it/dataset/farmacie-di-turno-dell-alto-adige1
  
In the folder named Files there are some audio files to test the program with the audio input. If you wish to test it with ther files, make sure to upload them in the folder. 
link to the folder: https://drive.google.com/drive/folders/1xHndS1OlaZyqfxz1ytqpy08N0-mK0onh?usp=sharing

Once the installation in done, you have to run the following: from GesundheitPerTuttiSaraPi import GesundheitPerTuttiSaraPi_module
  
Then, call the program with: GesundheitPerTuttiSaraPi_module.gesundheit()