semvec/pypi-packages huggingface dataset:
patha-svarantaranam 10.0.0.0.0
A Python module for text-to-speech conversion using the Pāṭha-Svarāntaraṇam API
Requires Python: >=3.6

# Pāṭha-Svarāntaraṇam TTS

A Python module for easy text-to-speech conversion using the Pāṭha-Svarāntaraṇam API.

## Installation

```bash
pip install patha-svarantaranam
```

## Usage

```python
from patha_svarantaranam import TextToSpeech

# Initialize TextToSpeech with your API URL
tts = TextToSpeech("http://your-api-url:port")

# List available voices
print(tts.list_voices())

# Get available languages
print(tts.get_languages())

# Convert text to speech
output_file = tts.convert("Hello, world!", "emma", speed="normal", output_file="hello.wav")

# Play the generated audio
if output_file:
    tts.play_audio(output_file)
```

## Features

- Easy-to-use Python interface for text-to-speech conversion
- Support for multiple voices and languages
- Adjustable speech speed
- Audio playback functionality

## API Configuration

When initializing the TextToSpeech class, provide your API URL:

```python
tts = TextToSpeech("http://your-api-url:port")
```

For more information, please refer to the [GitHub repository](https://github.com/sandeshaiplus/patha-svarantaranam).
ai-pdb 0.1.1
The Python Debugger (PDb) augmented with AI.
Requires Python: <4.0,>=3.8

# ai-pdb

The Python Debugger (PDb) augmented with AI.

## Description

`ai-pdb` is an enhanced version of the Python Debugger (PDb) that integrates AI capabilities to assist with debugging tasks. This tool leverages the power of [Claude](https://claude.ai) to provide more insightful debugging information and suggestions.

Use Claude directly from your debugging environment to avoid copying and pasting back and forth.

## Features

- AI-assisted debugging prompts
- Enhanced context-aware debugging
- Integration with the Anthropic API for AI responses

## Installation

Install using `pip`:

```sh
pip install ai-pdb
```

## Usage

You should have `ANTHROPIC_API_KEY` available in your ENV to be able to use this tool.

To use `ai-pdb`, simply import it in your Python script and start the debugger as you normally would:

```python
from ai_pdb.ai_pdb import AIPdb

debugger = AIPdB()

debugger.set_trace()
```

Once you’re in a debugging session, you can use the `ai` command to assist you with debugging.

There are three sub-commands available:

### `debug`

```sh
ai
ai debug
```

This is the default and is equivalent you just invoking `ai` from the debugging shell.

This will provide Claude with your current execution context and it will help you understand what’s going on, help you fix errors, etc.

### `docs`

```sh
ai docs
```

This will provide documentation relevant to the execution context.

### `query`

```sh
ai query <custom query>
```

You can ask Claude anything. Your question is automatically enriched with the execution context, providing all necessary information.