Generate subtitles for videos using AI
Распазнаванне беларускага маўлення і субтытры
Generate subtitles and translate them
A multilingual ASR and video captioning tool
this is a srt file creator
Generate SRT subtitles from videos or text
Add subtitles to a video
Convert subtitles into various formats using a web app
Generate subtitles from a video URL
Generate subtitles for audio/video
Upload audio/video to find relevant subtitles
Generate SRT subtitles from video
Sync subtitles to video
Flask is a micro web framework written in Python. It is designed to be lightweight, flexible, and easy to use, making it ideal for building web applications. Flask does not require particular tools or libraries, allowing developers to build applications using their preferred libraries and tools. It is well-suited for small projects, prototypes, and even production environments due to its modular and scalable nature.
• Micro and Lightweight: Flask has a small codebase and minimal dependencies.
• Modular Design: Applications can be structured in a modular way using blueprints.
• Flexible: Supports extensions for databases, caching, authentication, and more.
• Extensive Libraries: Includes built-in support for JSON, unit testing, and other tools.
• Unit Testing Support: Provides tools for testing applications out of the box.
• RESTful API Support: Makes it easy to build APIs with JSON responses.
• Good for Prototyping and Production: Suitable for both small projects and large-scale applications.
pip install flask in your terminal to install the framework.from flask import Flask
app = Flask(__name__)
@app.route("/")
def hello_world():
return "Hello, World!"
app.run() to start the development server.http://localhost:5000 in your browser.What is the best way to structure a Flask application?
The best way to structure a Flask application is to use a modular approach with blueprints. This allows you to organize your code into components based on functionality.
Does Flask support databases?
Yes, Flask supports databases through extensions like Flask-SQLAlchemy (for ORM) or Flask-Peewee (for database operations). You can also use raw SQL if preferred.
Can Flask be used for large applications?
Yes, Flask is suitable for large applications when using a modular design with blueprints. It allows you to scale your application efficiently by breaking it into smaller, manageable components.