Hosting Your Voice AI Side Project: A Developer Guide

Описание и применение

Руководство по созданию и развертыванию простого голосового ИИ с использованием ElevenLabs и Flask, развернутого на Bluehost.

Задача

Deploy a voice‑AI prototype that uses a TTS engine and a simple API to run 24/7 on a budget.

Результат

The guide demonstrates how to build a minimal TTS wrapper, test it locally, and deploy it to a low‑cost host, enabling continuous operation of a voice‑AI service.

Рабочий процесс

• Choose ElevenLabs as the TTS engine for natural voices and low latency.
• Sign up at ElevenLabs and obtain an API key.
• Write a Python script that sends text to ElevenLabs and saves the MP3 output.
• Create a Flask app exposing a /speak POST endpoint that forwards requests to ElevenLabs and streams the audio back.
• Test the local endpoint with curl and verify MP3 generation.
• Deploy the Flask app to a Bluehost shared hosting account (or similar cheap host).
• Configure the host to run the app on port 8000 and expose the endpoint publicly.
• Monitor uptime and adjust resources as needed to keep the service running 24/7.

Доказательства

ElevenLabs is the clear winner for natural‑sounding voices, real‑time latency, and a developer‑friendly API.

Источник

Below is a quick Python example that turns a string into an MP3 file.

Источник

Let’s create a lightweight Flask app that exposes a single /speak endpoint.

Источник