Voice-to-Text Summarizer Web App

This project is a web application for a voice-to-text summarizer that converts audio to text using Whisper and summarizes the text using Gemini LLM. The backend is built with Django and provides a REST API, while the frontend is built using Next.js.

Table of Contents

• Overview
• Features
• Technologies Used
• Installation

Overview

The Voice-to-Text Summarizer Web App allows users to upload audio files, which are then processed to convert speech to text and summarized. The application provides an easy-to-use interface for interacting with the backend services.

Features

• Audio to Text Conversion: Utilizes Whisper to accurately transcribe audio files into text.
• Text Summarization: Leverages Gemini LLM to generate concise and informative summaries of the transcribed text.
• User-Friendly Interface: Built with Next.js to provide a responsive and intuitive user experience.
• REST API Integration: Connects with a Django backend to handle audio processing and text summarization.

Technologies Used

• Next.js: Frontend framework for building the web application.
• Whisper: For converting audio to text.
• Gemini LLM: For summarizing the transcribed text.
• Django: As the backend framework.
• Django REST framework: For building the REST API.

Installation

To get a local copy up and running, follow these steps.

Prerequisites

• Node.js
• npm or yarn

Installation Steps

1. Clone the repository

   git clone https://github.com/yourusername/voice-to-text-nextjs.git
   cd voice-to-text-nextjs