semvec/pypi-packages huggingface dataset:
opengig-openai_wrapper 0.1.0
easy to use openai apis
Requires Python: <4.0,>=3.10

# NextJS Project
    - Add openai-wrapper.ts in lib folder in NextJS Project
    - 

# Examples
# Example usage
if __name__ == "__main__":
    # Initialize the wrapper
    wrapper = SimpleOpenAIWrapper(
        service_provider="openai", 
        max_retries=3
    )

    # Generate a response
    system_prompt = "You are a helpful assistant."
    user_prompt = "Explain the significance of the Pythagorean theorem."
    response = wrapper.generate_response(
        system_prompt=system_prompt, 
        user_prompt=user_prompt, 
        model="gpt-4", 
        max_tokens=150, 
        output_format="str"
    )
    print("Response:", response)
alloniarest 1.3.0
Library to interact with AllOnIA's API
Requires Python: <4.0,>=3.9

# Public Project AllOnIARest

Implements several client objects to access easily AllOnIA's public APIs
(provided you have a valid token of course).

```python
from alloniarest import Client

url = ...
token_id = ...
token_secret = ...

client = Client(
    url,
    user_token={
        "id": token_id, "token": token_secret
    },
    trace=False
)
response = client.request(
    "GET",
    "/some/route?var=value"
)
```

## Available APIs

You can manualy connect to any AllOnIA API using the example above, but some
functions are readily available through extra requirements, that you can install
like this:

```bash
pip install alloniarest[extra]
```

Here is the list of available extras:

* **external_api_keys**: provides the method
  `get_external_api_key_value` that returns an external API key's
  secret based on its name:

```python
from alloniarest.external_api_keys import get_external_api_key_value

secret = get_external_api_key_value("key_name")
```
That will suppose you have set the `USER_TOKEN_ID`, `USER_TOKEN_SECRET`,
`PROJECTS_API_INTERNAL_URL` and `TRACK_ID` environment variables.
ApexxCloud 1.0
A Python package for ApexxCloud API
Requires Python: >=3.8

# ApexxCloud

## Description
Python package for ApexxCloud API's.

## Installation 

```bash
pip install apexxcloud
```

## Quick Start
```python
from ApexxCloud import ApexxCloud

client = ApexxCloud({
    'access_key':'your_access_key',
    'secret_key':'your_secret_key',
    'bucket': 'your_bucket',
    'region': 'your_region'
})
```
## Features

- Simple file upload
- Multipart upload for large files
- File deletion
- Signed URL generation
- Bucket contents listing

## API Reference

### File Operations

#### Upload a File
```python
result = client.upload_file(file,options)
```

#### Delete a File
```python
result = client.delete_file(bucket,key)
```

#### Get a Signed URL
```python
result = client.generate_signed_url(type,options)
```

#### Start MultiPart Upload
```python
result = client.start_multipart_upload(bucket,key,options)
```

#### Upload Parts
```python
result = client.upload_part(upload_id, partNumber, file, options)
```

#### Complete MultiPart Upload
```python
result = client.complete_multipart_upload(upload_id, parts, options)
```

#### Cancel MultiPart Upload
```python
result = client.cancel_multipart_upload(upload_id, options)
```

## Documentation

For detailed documentation, visit [docs.apexxcloud.com](https://docs.apexxcloud.com)

## License

MIT
ttspersian 0.1.0
A Python library for Persian text-to-speech using Microsoft Azure service.
Requires Python: >=3.7

# PersianTTS

PersianTTS is a Python library for text-to-speech (TTS) synthesis in Persian using Microsoft Azure's speech service. It provides an easy-to-use interface for generating audio files from Persian text with options for voice selection, pitch, rate, and volume adjustment.

# Installation

pip install ttspersian


# Usage

from ttspersian import PersianTTS

tts = PersianTTS()
tts.synthesize("سلام دنیا! این یک مثال از تبدیل متن به گفتار فارسی است.", "output.mp3")
persianttsfarsi 0.1.0
A Python library for Persian text-to-speech using Microsoft Azure service.
Requires Python: >=3.7

# PersianTTS

PersianTTS is a Python library for text-to-speech (TTS) synthesis in Persian using Microsoft Azure's speech service. It provides an easy-to-use interface for generating audio files from Persian text with options for voice selection, pitch, rate, and volume adjustment.

# Installation

pip install persianttsfarsi


# Usage

from persianttsfarsi import PersianTTS

tts = PersianTTS()
tts.synthesize("سلام دنیا! این یک مثال از تبدیل متن به گفتار فارسی است.", "output.mp3")
persianttsfas 0.1.0
A Python library for Persian text-to-speech using Microsoft Azure service.
Requires Python: >=3.7

# PersianTTS

PersianTTS is a Python library for text-to-speech (TTS) synthesis in Persian using Microsoft Azure's speech service. It provides an easy-to-use interface for generating audio files from Persian text with options for voice selection, pitch, rate, and volume adjustment.

## Installation

```bash
pip install persianttsfas

from persianttsfas import PersianTTS

tts = PersianTTS()
tts.synthesize("سلام دنیا! این یک مثال از تبدیل متن به گفتار فارسی است.", "output.mp3")
-------or--------------
from persianttsfas import PersianTTS

tts = PersianTTS(voice="fa-IR-DelbarNeural")
tts.synthesize("سلام دنیا! این یک مثال از تبدیل متن به گفتار فارسی با صدای دلبر است.", "delbar_output.mp3", pitch="10%", rate="10%", volume="90%")
persianttsfa 0.1.0
A Python library for Persian text-to-speech using Microsoft Azure service.
Requires Python: >=3.7

# PersianTTS

PersianTTS is a Python library for text-to-speech (TTS) synthesis in Persian using Microsoft Azure's speech service. It provides an easy-to-use interface for generating audio files from Persian text with options for voice selection, pitch, rate, and volume adjustment.

## Installation

```bash
pip install persiantts

from persiantts import PersianTTS

tts = PersianTTS()
tts.synthesize("سلام دنیا! این یک مثال از تبدیل متن به گفتار فارسی است.", "output.mp3")
-------or--------------
from persiantts import PersianTTS

tts = PersianTTS(voice="fa-IR-DelbarNeural")
tts.synthesize("سلام دنیا! این یک مثال از تبدیل متن به گفتار فارسی با صدای دلبر است.", "delbar_output.mp3", pitch="10%", rate="10%", volume="90%")
persiantts 0.1.0
A Python library for Persian text-to-speech using Microsoft Azure service.
Requires Python: >=3.7

# PersianTTS

PersianTTS is a Python library for text-to-speech (TTS) synthesis in Persian using Microsoft Azure's speech service. It provides an easy-to-use interface for generating audio files from Persian text with options for voice selection, pitch, rate, and volume adjustment.

## Installation

```bash
pip install persiantts

from persiantts import PersianTTS

tts = PersianTTS()
tts.synthesize("سلام دنیا! این یک مثال از تبدیل متن به گفتار فارسی است.", "output.mp3")
-------or--------------
from persiantts import PersianTTS

tts = PersianTTS(voice="fa-IR-DelbarNeural")
tts.synthesize("سلام دنیا! این یک مثال از تبدیل متن به گفتار فارسی با صدای دلبر است.", "delbar_output.mp3", pitch="10%", rate="10%", volume="90%")
threegame 9.1.0
A brief description of your library
Requires Python: >=3.6

# threegame

这是一个非常好用的库，你可以输入'threegame.data.run()'
来启用它，它是一个3D的游戏，玩家可以站在上面移动，后面自
己设置。

## 安装

你可以使用 pip 来安装 threegame：
 
```bash
pip install threegame
pip3 install threegame
```

### 3. 使用指南

- **基本用法**：输入指令直接可以玩
- **高级用法**：无

```markdown
## 使用指南

### 基本用法

```python
from threegame import data

#运行
data.run()