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Enhance your Unity game by integrating artificial intelligence capabilities. This Unity AI tutorial will walk you through the process of using the Eden AI Unity Plugin, covering key steps from installation to implementing various AI models.

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What is Unity?

Unity is a gaming company that has shaped the gaming industry since 2004 and has become a global leader in providing a powerful game development engine.

The Unity game engine empowers developers to create immersive games across various platforms, including mobile devices, consoles, and PCs. Unity stands out for its user-friendly interface and robust features.

If you’re looking to enhance your gameplay, Unity allows you to integrate AI to create intelligent behaviors, decision-making, and other advanced functionalities in your games or applications.

Unity offers multiple paths for AI integration, including game-changing solutions for AI-driven gamedev and gameplay. Notably, the Unity Eden AI Plugin effortlessly syncs with the Eden AI API, enabling easy integration of AI tasks like text-to-speech conversion and chatbot interactions within your Unity applications.

Benefits of integrating AI into video game development

Integrating artificial intelligence (AI) into video game development brings a ton of benefits, enhancing both player experiences and the efficiency of game development processes. Here are some key advantages:

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1. Personalized Player Experiences

AI-driven systems analyse player behaviour and preferences to personalise the gaming experience. This can involve adjusting difficulty levels, suggesting relevant in-game content, or even creating unique storylines based on the player's choices.

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2. Dynamic and Adaptive Gameplay

AI enables the creation of non-player characters (NPCs) and enemies that display dynamic and adaptive behaviours. This introduces an element of unpredictability and challenge to the game, making it more engaging for players.

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3. Optimized Resource Management

AI algorithms can be employed to optimize resource management within games, such as dynamically adjusting graphics settings based on the player's hardware capabilities. This ensures smoother gameplay experiences across a variety of devices.

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4. Smart NPCs and Enemy Behavior

AI-driven NPCs and enemies can exhibit more sophisticated and human-like behaviors, responding to the player's actions in intelligent and strategic ways. This elevates the overall challenge and excitement of the game.

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Use cases of Video Game AI integration

AI is increasingly being utilized in video games across various aspects to enhance player experiences, improve game dynamics, and streamline development processes.

Here are use cases for various AI technologies in Unity game development:

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Speech to Text (STT)

Voice Commands: Implement voice commands for in-game actions, such as character movement, item selection, or triggering events.
Narrative Interaction: Convert spoken words into text for interactive dialogues and storytelling.

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Chat Systems

Conversational NPCs: Create realistic and interactive conversations with non-playable characters using chat systems.
Quest Guidance: Use chatbots to guide players through quests, providing hints and information within the game.

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Large Language Models (LLMs)

Dynamic Storytelling: Develop a narrative that adapts based on player choices and interactions, leveraging LLMs to generate diverse and engaging storylines.
In-Game Virtual Assistants: Implement intelligent virtual assistants powered by LLMs to provide personalized assistance to players.

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Translation

Global Accessibility: Translate in-game text and dialogue to cater to a diverse, global audience, enhancing accessibility for players from different linguistic backgrounds.

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Image Generation

Procedural Conte^nt:^Generate procedural terrain, landscapes, or level designs using AI-driven image generation techniques, providing unique and varied gaming experiences.
Character Design: Create AI-generated characters, creatures, or objects to populate the game world with diverse and visually interesting elements.

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Spell Check

Text-based Games: Ensure accurate spelling and grammar in text-based games, enhancing the overall quality and professionalism of the in-game narrative.

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Sentiment Analysis

Player Feedback: Analyze player reviews and comments using sentiment analysis to gauge player satisfaction and make informed decisions for game improvements.

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Summarization

Game Logs: Summarize in-game logs, player achievements, or events, providing concise summaries for players to review their progress or key moments.

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OCR (Optical Character Recognition)

Interactive Object Recognition: Use OCR to recognize text in images, enabling players to interact with in-game objects that have text, such as books, signs, or documents.

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Explicit Content Detection

Content Moderation: Employ explicit content detection to ensure that user-generated content or in-game chat remains within acceptable boundaries, promoting a safe and enjoyable gaming environment.

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When integrating these AI technologies into Unity, developers should consider performance, user experience, and the specific requirements of their game design. Proper testing and optimization are essential to ensure a seamless and engaging gaming experience.

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How to integrate AI into your video game with Unity

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Step 1. Install the Eden AI Unity Plugin

To incorporate the Unity Eden AI Plugin in your Unity project, follow these steps:

Open your Unity Package Manager
Add package from GitHub

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Étape 2 Obtenez votre clé d'API Eden AI

Pour commencer à utiliser l'API Eden AI, vous devez créez un compte sur la plateforme Eden AI.

Une fois inscrit, vous recevrez une clé API dont vous aurez besoin pour utiliser le plugin Eden AI Unity. Vous pouvez le définir dans votre script ou ajouter un fichier auth.json vers votre dossier utilisateur (chemin : ~/.edenai (Linux/Mac) ou %Profil utilisateur%/.edenai/ (Windows)) comme suit :

{ "api_key": "YOUR_EDENAI_API_KEY" }

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Vous pouvez également transmettre la clé API en tant que paramètre lors de la création d'une instance du API d'Édenia classe. Si la clé API n'est pas fournie, il tentera de la lire à partir du fichier auth.json de votre dossier utilisateur.

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Étape 3 Intégrez différents types de modèles d'IA sur Unity

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1. Chatbot sur Unity

Avec le plugin Eden AI Unity, vous pouvez intégrer un chat avec un modèle de traitement du langage naturel dans votre application ou votre jeu.

La mise en œuvre de la fonctionnalité de chat vous permet de créer des PNJ plus réalistes et interactifs dans votre jeu. Les joueurs peuvent engager des conversations avec des personnages virtuels et recevoir des réponses dynamiques en fonction de leurs entrées.

Avec Eden AI, vous pouvez utiliser des fournisseurs tels que IA ouverte, Google Cloud ou Répliquer (accéder à la liste) ici).

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Voici un exemple de code C# que vous pouvez utiliser pour appeler l'API Eden AI pour le chat :


using EdenAI;
using System;
using System.Threading.Tasks;

class Program
{
	static async Task Main(string[] args)
	{
    	string provider = "openai";
    	string text = "Hello I'm fine and you ?";
    	ChatMessage chatMessage = new ChatMessage()
    	{
        	Role = "assistant",
        	Message = "Hello how are you ?"
    	};
    	List ChatMessage previousHistory = new List ChatMessage { chatMessage };
    	EdenAIApi edenAI = new EdenAIApi();
    	ChatResponse response = await edenAI.SendChatRequest(provider, text, previousHistory: previousHistory);
	}
}

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2. Synthèse vocale sur Unity

Donnez vie à vos PNJ en leur permettant de parler grâce à la fonctionnalité de synthèse vocale.

Vous pouvez utiliser le plugin Eden AI pour intégrer divers services, y compris mais sans s'y limiter Google Cloud, IA ouverte, AWS, IBM Watson, LovoAI, Microsoft Azure, et Onze laboratoires fournisseurs de synthèse vocale, dans votre projet Unity (consultez la liste complète) ici)

Cette fonctionnalité vous permet de convertir du texte écrit en mots prononcés, ajoutant ainsi une touche de réalisme aux personnages de votre jeu. Personnalisez le modèle vocal, la langue et le format audio en fonction de l'atmosphère de votre jeu.

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Voici un exemple de code C# que vous pouvez utiliser pour appeler l'API Eden AI pour la synthèse vocale :


using EdenAI;
using System;
using System.Threading.Tasks;

class Program
{
    static async Task Main(string[] args)
    {
        string provider = "amazon";
        string text = "Hello how are you ?";
        string audioFormat = "mp3";
        TextToSpeechOption option = TextToSpeechOption.FEMALE;
        string language = "en";
        string voiceModel = "en-US_Justin_Standard";

        EdenAIApi edenAI = new EdenAIApi();
        TextToSpeechResponse response = await edenAI.SendTextToSpeechRequest(provider,
            text, audioFormat, option, language, voiceModel: voiceModel);
    }
}

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3. Chatbot IA personnalisable (AskYoda) en utilisant des LLM sur Unity

Personnalisez vos PNJ alimentés par l'IA à l'aide de dans le rôle de : Kyoda dans votre projet Unity pour créer des personnages attrayants et réactifs à partir de vos données à l'aide de modèles LLM tels que IA ouverte, Google Cloud, Anthropique, Cohère, Laboratoires A21 et IA Mistral.

Askyoda, ou « Ask Your Data », est un produit polyvalent développé par Eden AI qui permet aux utilisateurs de créer des chatbots IA personnalisés. En permettant de former des chatbots à partir de vos propres données, la solution permet de surmonter les limites en facilitant l'intégration des données et la formation dans plusieurs langages de programmation.