semvec/pypi-packages huggingface dataset:
engagespot-python 0.0.1
Python library for communicating with Engagespot REST API.
Requires Python: >=3.6

This is the official Python library for communicating with Engagespot REST API. Send multi-channel notifications from your python app.

# Installation

```
pip install engagespot-python
```

# Prerequisites
You need Engagespot API KEY and API SECRET from your [dashboard](https://portal.engagespot.co) to get started. If you don't have one, just get one for free.

# Sending a notification

```python
from engagespot import Engagespot


client = Engagespot(api_key="ENGAGESPOT_API_KEY", api_secret="ENGAGESPOT_API_SECRET")

send_request = {
    "notification": {
        "title":"Test from Python library🔥"
    },
    "recipients":["uid_123456"]
}
    
response = client.send(send_request)
```

Refer [Engagespot REST API Docs](https://documentation.engagespot.co/docs/rest-api) to get the list of all supported parameters.

# Creating or updating a user

```python
user_profile = {
    "name" : "Python User",
    "email" : "python@engagespot.co"
}

response = client.create_or_update_user("pythonuser2");
```
gpt4api-dg 0.0.1
Wrapper for OpenAI API, intended to be used for a discord bot powered by GPT-4.
Requires Python: >=3.7

# DevGround

## ChatGPT API wrapper

This is a wrapper for the [OpenAI's GPT-4 API](https://openai.com/product/gpt-4) by [DevGround](https://devground.cz/).

### Model

The AI model used in this package is GPT-4

### License

This package is licensed under the MIT license.

### Language

The language used in this package is Python.

### Requirements

requires environment variables:

- OPENAI_API_KEY

### Installation

Package will be available on PyPI soon.

--install the package with pip:--

```bash
pip install gpt4api_dg
```

### Usage

Usage sample is copied from earlier gpt-3.5-turbo project and is subject to change. It is not yet tested with gpt-4.

```python
from dg_chatgpt_api import ChatGPTAPI as api

api.reconnect()
api.add_user("user_id", "username")
api.add_conversation("user_id")
message = {
    "role": "user",
    "content": "message"
}
response = api.get_response("user_id", message)
```