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Bringing the sci-fi dream of a capable Jarvis-style AI companion into reality.

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<h2> <img align="left" height="90px" src="https://github.com/KoljaB/Linguflex/assets/7604638/b4df4598-97c0-4262-807c-fa98a31dcb81"/> Linguflex 2.0 </h2> <img align="right" width="30%" src="https://github.com/KoljaB/Linguflex/assets/7604638/f4fa4601-ad7c-4541-8788-b24706389197" /> Born out of my passion for science fiction, this project aims to simulate engaging, authentic, human-like interaction with AI personalities. <br> <br>

It offers voice-based conversation with custom characters, alongside an array of practical features: controlling smart home devices, playing music, searching the internet, fetching emails, displaying current weather information and news, assisting in scheduling, and searching or generating images.

I invite you to explore the framework, whether you're a user seeking an innovative AI experience or a fellow developer interested in the project. All insights, suggestions, and contributions are appreciated. I want to bring this personal passion project towards its full potential, hopefully with the community's assistance, to collectively contribute to the evolution of AI.

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πŸ““ Linguflex 2.0 installation

<details> <summary><strong>Understanding Installation Challenges</strong> (Click to expand)</summary> <br>

Sometimes people suggest, "Just provide a Docker container; installation is so hard." I understand the frustration, but here's why that is challenging:

  1. Complex Integration: Linguflex is a substantial framework combining advanced TTS technologies like realtime local neural TTS voice generation with realtime RVC fine-tuning, alongside a plethora of other features. Ensuring that all these elements work together in a single environment is like finding the lowest common denominator for your favorite 60 Python libraries instead of just three. Moreover, this system must operate consistently across various platforms, OS versions, Python environments, CUDA versions, and CuDNN versions. It's a complex puzzle.
  2. Dependency Management: The nature of Python creates an inherently unstable environment. Even with fixed versions in requirements this does not ensure stability, as transitive dependencies - libraries our direct dependencies rely on - may update independently, potentially leading to incompatibilities or disruptions. This indirect dependency instability can introduce breaking changes over time, often requiring reinstall libraries or adjusting the dependency tree to resolve new conflicts.

Patience Is Key: Please have patience with the installation process. Things might not work on the first try. Sometimes, I just need a hint to things so I can fix them, and sometimes you might be able to solve issues by yourself. While it’s rare, there are instances where there might be nothing we can do. Trying to reduce those rare cases step by step.

Note: I constantly try to explore more user-friendly installation methods (and yes including docker).

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πŸŽ₯ Installation video guide
πŸŽ₯ See in action (short clip)

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Key Features

Modules

Core Modules

Current Expansion Modules

Modules Coming Soon

Getting Started

Follow the Modules Guide for step-by-step instructions about how to set up and configure the Linguflex modules.

License

The codebase is under MIT License and the TTS model weights are under the individual TTS engine licenses listed below:

CoquiEngine

ElevenlabsEngine

AzureEngine

SystemEngine

OpenAIEngine