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https://github.com/aditya-xq/captions
https://github.com/aditya-xq/captions
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/aditya-xq/captions
- Owner: aditya-xq
- License: mit
- Created: 2023-11-10T17:48:39.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-11-21T14:37:45.000Z (about 1 year ago)
- Last Synced: 2023-11-21T15:40:52.412Z (about 1 year ago)
- Language: JavaScript
- Size: 63.5 KB
- Stars: 0
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Transcription App
## Overview
This Transcription App is designed to provide an efficient and user-friendly interface for transcribing, managing, and editing audio and video files. It features a robust frontend built with Next.js and a powerful Python Flask backend.
## Features
- File Upload and Management
- Automatic Speech-to-Text Transcription
- Time-Synced Transcript Display
- Editable Transcripts with Time Codes
- Search Functionality within Transcript
- Automatic Caption Generation
- Customization Options for Captions
- Export Options for Transcripts and Captions
- Basic Analytics
## Getting Started
### Prerequisites
- Node.js (for Next.js frontend)
- Python 3 (for Flask backend)
- Git (optional for cloning the repository)
### Installation
1. **Clone the Repository (Optional)**
```bash
git clone [URL_of_Your_Repository]
cd transcription-app
```
2. **Set up the Backend**
- Navigate to the backend directory:
```bash
cd backend
```
- Install the required dependencies (creating virtual env is recommended):
```bash
pip install flask jinja2 markupsafe flask_restful
```
- Start the Flask server:
```bash
python app.py
```
3. **Set up the Frontend**
- Open a new terminal and navigate to the frontend directory:
```bash
cd webapp
```
- Install dependencies:
```bash
npm install
```
- Start the Next.js development server:
```bash
npm run dev
```
### Usage
After starting both the frontend and backend servers, you can access the web app at `http://localhost:3000` in your browser.
## Contributing
Contributions to this project are welcome. Please follow the standard fork-and-pull request workflow.