Voice Assistant

A Python-based voice assistant server using Flask. It provides Speech-to-Text (STT) capabilities using faster_whisper and Text-to-Speech (TTS) using edge_tts.

Features

• Speech-to-Text (STT): Transcribes audio files uploaded to the /transcribe endpoint.
• Text-to-Speech (TTS): Converts text to speech and returns an audio file via the /speak endpoint.
• REST API: Simple Flask-based API for integration with frontend applications.

Prerequisites

• Python 3.8+
• FFmpeg (Required for audio processing)

Installation

1. Clone the repository:

   git clone <your-repo-url>
   cd VoiceAssistant

2. Create and activate a virtual environment:

   python -m venv venv
   # Windows
   venv\Scripts\activate
   # Linux/Mac
   source venv/bin/activate

3. Install dependencies:

   pip install -r requirements.txt

Usage

1. Start the server:

   python app.py

   The server will start at http://127.0.0.1:5000.

2. Open voice-assistant-v4.html (or v3) in your browser to interact with the assistant.

API Endpoints

POST /transcribe

• Description: specific audio file for transcription.
• Form Data: audio (File)
• Response: JSON { "transcript": "..." }

POST /speak

• Description: specific text for speech generation.
• JSON Body: { "text": "Hello world" }
• Response: Audio file (MP3) or JSON error.

Notes

• To avoid NVIDIA driver errors, the model is configured to run on CPU by default.