text-to-talk

Text-to-Talk is a FastAPI application providing APIs for text summarization and text-to-speech conversion. It utilizes pre-trained models from Hugging Face's Transformers library using the Facebook's BART and the Suno Bark model for TTS.

Features

• Summarize text using the BART model.
• Convert text to speech using the Bark model.
• Combine text summarization and text-to-speech into one endpoint.

Installation and Setup

Prerequisites

Ensure you have the following installed:

• Node.js (for the client)
• Python 3.9+ (for the server)
• Git (for cloning the repository)

Follow these steps to set up and run the application:

1. Clone the Repository

Clone this repository to your local machine:

git clone https://github.com/iAmmar7/text-to-talk.git
cd text-to-talk

2. Server (Backend)

Navigate to the Server Directory

cd server

Set Up a Virtual Environment

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

Install Server Dependencies

pip install -r requirements.txt

Run the Server

uvicorn app.main:app --reload

The server will be available at http://localhost:8000

Access the API

Once the application is running, you can access the API documentation at:

Swagger UI: http://127.0.0.1:8000/docs ReDoc: http://127.0.0.1:8000/redoc

3. Client (Frontend)

Navigate to the Client Directory

cd client

Install Client Dependencies

npm install

Run the client

npm run dev

The client will be available at http://localhost:5173.

Usage

1. Start the backend server first.
2. Start the frontend client.
3. Open http://localhost:5173 in your browser to interact with the application.

Sanpshots