syncfusion-blazor-smartcomponents-with-deepseek-ai

This repository demonstrates the sample for Deepseek AI Integration with Syncfusion Blazor Smartcomponents.

How to Run the Project

This project demonstrates the integration of DeepSeek local AI model with Syncfusion Blazor SmartComponents brings AI-powered automation to text-based applications, enhancing sentence completion, content pasting, and real-time suggestions.

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Prerequisites

Before you begin, ensure you have the following:

1. Visual Studio 2022 with the ASP.NET and web development workload installed.
2. .NET 8.0 SDK or later.
3. DeepSeek Model: Installed in your system.

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Installing and Setting Up the DeepSeek Model

To integrate DeepSeek with Syncfusion SmartComponents, you must first install and run the model locally on your system. Follow these steps to get started:

Step 1: Install Ollama

Download and install Ollama from Ollama's official website based on your operating system.

Step 2: Install the DeepSeek Model

After installing Ollama, open a command prompt or terminal and run the following command to install and start the DeepSeek model:

ollama run <model-name>

Replace <model-name> with the specific DeepSeek model you want to use. For example:

ollama run deepseek:7b

Once the model is running, it will be hosted locally and can be used within Syncfusion SmartComponents for AI-powered text assistance.

Steps to Run the Project

1. Clone the Repository

Clone the repository to your local machine:

git clone <repository-url>
cd <repository-folder>

2. Install Required Dependencies

Make sure all required NuGet packages are installed. Use the following commands if necessary:

dotnet restore

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3. Configure the Deepseek ai model in program.cs

To configure the AI service, add the following settings to the ~/Program.cs file in your Blazor application:

builder.Services.AddSyncfusionSmartComponents()
    .ConfigureCredentials(new AIServiceCredentials 
    { 
        SelfHosted = true, 
        Endpoint = new Uri("Your local endpoint"), 
        DeploymentName = "your model name" 
    })
    .InjectOpenAIInference();

• Set SelfHosted to true.
• Provide the Endpoint URL where the model is hosted (e.g., http://localhost:11434).

Before proceeding, ensure the DeepSeek model is installed and running locally.

Once the model is running, set the DeploymentName to match the installed model, such as:

• deepseek-r1:1.5b
• deepseek-r1:7b
• mistral:7b

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4. Build and Run the Project

Run the following command to build and start the application:

dotnet run

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5. Access the Application

Once the application starts, open your browser and navigate to the provided URL.