May 6
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In this video, we build a complete Text-to-Speech (TTS) pipeline starting from a simple standalone script to a fully functional API using FastAPI. Watch Part 1 here - https://youtu.be/FauZyrXk7n4 We then prepare the application for @Runpodio serverless deployment by structuring it properly and containerizing it with Docker. This is a step-by-step guide designed for beginners and developers who want to understand how to take an use case from local development to a production-ready setup. 🎯 What You’ll Learn How to build a simple TTS inference using a Python SDK Creating an API layer using FastAPI Handling requests and responses for inference Building a basic UI to interact with the API Preparing your application for serverless deployment Chapters: 00:00 Introduction & Recap 00:13 Building Standalone TTS Inference 01:18 Testing the TTS Script 01:42 Creating FastAPI API Layer 03:15 Health Check & Server Setup 03:50 Testing API & UI Integration 05:25 Preparing for Serverless (Docker) 06:10 Conclusion & Next Steps 👍 Like, Share & Subscribe for more AI tutorials. Join Whatsapp Community for more AI updates: https://chat.whatsapp.com/ES8FAmLiRhn7sn75mrCr83 Subscribe: https://www.youtube.com/@UCtqZnR47Bc9lwVpkvBKWmxg Follow: https://www.instagram.com/aipaatshal/ Medium: https://medium.com/@shrinath.suresh #AI #MachineLearning #TextToSpeech #TTS #FastAPI #Python #Serverless #RunPod #Docker #MLOps #AIEngineering #DeepLearning #APIDevelopment #BackendDevelopment #TechTutorial #LearnAI #GenerativeAI #AIProjects #PythonProjects