semvec/pypi-packages huggingface dataset:
ganzo 1.0.0
Project creator (from templates)
Requires Python: <3.12,>=3.7

# Ganzo

Creates new project from templates stored in git repositories.

## How to use?

Ganzo assumes the existence of a folder `$HOME/.ganzo` containing the configuration.

```
/$HOME
    /.ganzo
        configuration.json
```

Example `configuration.json`:

```
{
    "gcs_bucket_name": "<gcs_bucket_name>" // Google Cloud Storage bucket where the template list is stored.
}
```

Then check how to use ganzo in from commandline.

```
$ ganzo -h
```

## Templates

Templates are store in a directory containing a `templates.list` file which contains a template entry per line.

The `templates.list` file for the previous directory should list all the templates available.

```
# Content of templates.list
<template_name> <template_git_url> <template_git_branch>
app git@github.com:organozation/project_app.git main
list https://github.com/organozation/project_list.git dev
```

### Variable resolution

Files with extension `.nzo` are candidates for variable resolution,
which will replace variables within the files with project specific values.

```
# Content of README.md.nzo

This projects name is ${PROJECT_NAME}.
```

Currently the only available variable for resolution is `PROJECT_NAME`.


## Legacy Templates (version <= 0.5.0)

Templates are store in a directory containing a `templates.list` file,
which contains a template name per line.

```
/path/to/templates
    templates.list
    /app
        /code
        pyproject.toml
        ...
    /lib
        /scripts
        README.md.nzo
        ...
```

The `templates.list` file for the previous directory should list all the templates available.

```
# Content of templates.list
<template_name>
app
list
```

Each templates directory will be fully copied as part of loading the template for a new project.

## Development

### Python virtual environment

Create and load a virtual environement.

```
python -m venv .venv
source .venv/bin/activate
```

### Install

Install all dependencies in editable mode.

```
make install
```

### Misc

Check what other shortcuts are available.

```
make help
```

## Areas of improvement

- Support for custom variables.
- Directory structure changes based on variables.
- Improve coverage of core and resolvers.
- Improve error handling and messages
charactr-api-sdk 2.1.0
Python SDK to interact with the charactr API.
Requires Python: >=3.9.0

# charactr-api-sdk-python

Python SDK to interact with the charactr API.

## Terminology
**VC** - *Voice conversion* - converting one voice from audio input to another voice.

**TTS** - *Text to speech* - converting text to voice audio.

## Features
- making TTS requests
- making VC requests
- getting lists of available voices

## Installation
```bash
pip install charactr-api-sdk
```

## Usage
For the detailed SDK usage, please refer to the [SDK Reference](https://docs.api.gemelo.ai/reference/python) or the `./examples` directory.

### Quickstart

```python
from charactr_api import CharactrAPISDK, Credentials

sdk = CharactrAPISDK(Credentials(client_key="xxx", api_key="yyy"))

tts_voices = sdk.tts.get_voices()
tts_result = sdk.tts.convert(tts_voices[0]["id"], "Hello world")
```

## How to run examples

#### Clone & install the SDK locally
```bash
git clone https://github.com/charactr-platform/charactr-api-sdk-python
cd charactr-api-sdk-python
pip install .
```

#### Provide credentials
Open `./examples/credentials.py` and provide your credentials. You can find them in your [Client Panel](https://app.gemelo.ai) account.

#### Use TTS
```bash
python examples/tts.py
```

#### Use TTS Simplex Streaming
```bash
python examples/tts_stream_simplex.py
```

#### Use TTS Duplex Streaming
```bash
python examples/tts_stream_duplex.py
```

#### Use VC
```bash
python examples/vc.py
```

#### Use Voice Clones
```bash
python examples/clones.py
```