mantisai 0.1.18

A Python package for transcribing audio files, summarizing text, and extracting information using Gemini AI and Pydantic.

Mantis: Audio Processing with Large Language Models

Mantis is a Python package that makes it easy to transcribe audio files, generate summaries, and extract information using large language models. Built with Pydantic for robust data validation, it provides a simple and user-friendly API for processing both local audio files and YouTube content.

Developed by Paul Elliot

Key Features

• Audio Transcription: Convert audio files to text with clean output
• Text Summarization: Generate concise summaries of your audio content
• Information Extraction: Retrieve specific details from audio using custom prompts
• YouTube Support: Automatically process YouTube URLs with reliable caching
• Pydantic Validation: Ensure robust input/output handling
• Robust Error Handling: Comprehensive assertions and error checks throughout the codebase

Supported Formats

• .mp3 - MP3 audio files
• .wav - WAV audio files
• .m4a - M4A audio files
• .ogg - OGG audio files
• YouTube URLs

Installation

Install Mantis with pip:

pip install mantisai

Quick Start

Basic Usage

import mantis

# Transcribe a local audio file
print(mantis.transcribe("path/to/local/audio.mp3"))

# Summarize a local audio file
print(mantis.summarize("path/to/local/audio.mp3"))

# Extract information using a custom prompt
print(mantis.extract("path/to/local/audio.mp3", "Extract key details"))

YouTube Support

Process YouTube content with the same API:

# Transcribe a YouTube video
transcript = mantis.transcribe("https://www.youtube.com/watch?v=example")

# Summarize a YouTube video
summary = mantis.summarize("https://www.youtube.com/watch?v=example")

# Extract information from a YouTube video
info = mantis.extract("https://www.youtube.com/watch?v=example", "Identify the key themes")

Command Line Interface

Mantis also provides a convenient CLI:

# Transcribe an audio file
python -m mantis.cli transcribe "path/to/audio.mp3"

# Summarize a YouTube video
python -m mantis.cli summarize "https://www.youtube.com/watch?v=example"

# Extract information with a custom prompt
python -m mantis.cli extract "path/to/audio.mp3" "Identify the key themes"

Usage Notes

• Unified Interface: Whether you're passing a .mp3 file or a YouTube URL, the functions work the same way
• Clean Transcriptions: By default, transcriptions remove disfluencies and speech artifacts
• Custom Prompts: For extraction, you can provide custom prompts to guide the information retrieval
• API Key: Ensure your Gemini AI API key is set in your environment (or in your code)
• Default Model: Mantis uses Gemini 1.5 Flash by default
• Silent Operation: Logging is disabled by default for clean output. Enable it only when needed for debugging.

# By default, logging is disabled for clean output

# Enable informational logging when needed
import mantis
mantis.enable_verbose_logging()

# Enable detailed debug logging for troubleshooting
mantis.enable_debug_logging()

# Enable only warnings and errors
mantis.enable_warning_logging()

Recent Improvements (v0.1.17)

• Enhanced YouTube Processing: Fixed caching issues with YouTube downloads
• Improved Robustness: Added comprehensive assertions throughout the codebase
• Better Error Handling: More reliable cleanup of temporary files
• Simplified Interface: Streamlined CLI with focus on core functionalities
• Silent Operation: Disabled all logging by default for clean, results-only output

Contributing

We welcome contributions! Here's how you can help:

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Run the tests: python -m unittest discover tests
5. Submit a pull request

For more details, see CONTRIBUTING.md

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.