metadata

title: Audio Translator
emoji: 🔥
colorFrom: pink
colorTo: purple
sdk: gradio
sdk_version: 5.31.0
app_file: app.py
pinned: false
license: apache-2.0
short_description: Audio Translator

🗣️ Audio Translator

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🚀 Overview

Combine ASR, machine translation, and neural TTS into one seamless audio pipeline—100 % CPU on free-tier HF Spaces.
Upload speech, auto-detect language, translate into English or Spanish, then hear it spoken back.

AI buzzwords:
• Automatic Speech Recognition (ASR) • Whisper Tiny • Neural Machine Translation • GoogleTranslator • Text-to-Speech • gTTS • Multi-modal AI • End-to-End Inference • Real-Time • Edge Deployment

✨ Features

🔑 Feature	🔍 Description
🎙️ ASR: Whisper-Tiny	Lightning-fast, on-device speech transcription (all languages)
🌐 Translation	Bidirectional English ↔ Spanish via Deep-Translator
🗣️ Neural TTS	High-quality audio playback via the free Google Translate TTS
⚡ Zero-infra CPU	Runs on 2 vCPU / 16 GB RAM—no GPU or paid APIs needed
🎨 Elegant UI	Intuitive Gradio Blocks—upload, buttons, transcripts, audio
🔧 Fully Modular	Swap models or add logging/analytics with minimal edits

🏗️ Architecture & Workflow

Audio Upload
User uploads any .wav or .mp3 clip.
ASR
OpenAI’s whisper-tiny decodes speech into text.
MT
deep-translator’s GoogleTranslator converts text to chosen language.
TTS
gTTS synthesizes the translated text into an .mp3.
UI Rendering
Gradio presents the original transcript, the translation, and an audio player.

🛠️ Quick Start (Local Dev)

git clone https://github.com/<YOUR-USERNAME>/audio-translator.git
cd audio-translator
python3 -m venv venv && source venv/bin/activate
pip install -r requirements.txt
python app.py