How To Integrate ASP.NET 9 Blazor WASM With Open AI API To Generate Speech From Text?

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Blazor + OpenAI Text-to-Speech (TTS) - Full Integration!
🎙️ In this video, we extend our Blazor AI-powered app by integrating Text-to-Speech (TTS) functionality using OpenAI’s API!
🔥 Now, your Blazor app can not only generate text and images but also speak AI-generated voices!
📌 What We Cover:
✅ Updating the OpenAI Service Class to support TTS
✅ Adding a loading indicator for better UX
✅ Allowing users to choose from multiple AI voices 🎤
✅ Enabling MP3 download support 📥
✅ Testing the final working Blazor TTS system
This is a must-watch if you're building AI-driven applications with Blazor!
Stay ahead in the AI race and bring your apps to life with realistic AI voices!

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#Blazor #OpenAI #TextToSpeech #AI #TTS #dotnet #CSharp #BlazorServer #BlazorWASM #AIAudio #BlazorApp

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[cchiarelli]

Thank you, very informative. I am using your OpenAIServices as the base of my simple examples. I recently tried accessing the Openai API Vision, but I am having some issues. Will you be looking at this in a future lecture

public async Task<string> imagePath)
{
if
{
throw new ArgumentException("Image path cannot be empty");
}

// Convert the image file to a base64 string
//var base64Image = Convert.ToBase64String(await

string base64Image = imagePath;

var requestBody = new
{
model = "gpt-4o-mini",
input = new[]
{
new
{
role = "user",
content = new object[]
{
new { type = "input_text", text = "what's in this image?" },
new { type = "input_image", image_url = base64Image }
//new { type = "input_image", image_url = $"data:image/jpeg;base64, {base64Image}" }
}
}
}
};


var jsonBody =


= new AuthenticationHeaderValue("Bearer", _apiKey);

var content = new StringContent(jsonBody, Encoding.UTF8, "application/json");


if
{
var json = await
return ?? string.Empty;
}
else
{
var errorMessage = await
throw new Exception("API request failed with status code " + response.StatusCode + " Error message: " + errorMessage);
}
}

}