AI-Blogger

AI-Blogger for content creators to create content from youtube videos.

AI Blogger

AI Blogger is a web application designed to assist content creators in generating content from YouTube videos. Users can input a YouTube video link, and the application will fetch and provide the video transcript, which can be easily copied for use in content creation

Features

• Generate Content: Input a YouTube video link and get the transcript of the video
• Copy Content: Easily copy the generated content to the clipboard for convenience
• User Authentication: Secure login and registration for users
• Admin Dashboard: Admin can view all users and their posts

Technologies Used

• Django: Web framework for building the web application.
• youtube-transcript-api: Python library for fetching YouTube video transcripts.
• BeautifulSoup: Library for web scraping (used if you need to parse or extract specific content from HTML).

Installation

1. Clone the repository:

   git clone <repository-url>

2. Navigate to the project directory::

   cd <project-directory>

3. Create and activate a virtual environment:

   python -m venv venv
    source venv/bin/activate  # On Windows use `venv\Scripts\activate`

4. Install the required packages:

   pip install -r requirements.txt

5. Apply migrations:

   python manage.py migrate

6. Install the required packages:

   pip install -r requirements.txt

7. Create a superuser (for admin access):

   python manage.py createsuperuser
   

8. Run the development server:

python manage.py runserver

5. Access the application:

Open your browser and go to http://127.0.0.1:8000/.

Usage 1.Register/Login: Create an account or log in to access the dashboard. 2.Generate Content: Enter a YouTube video link in the provided input field and click "Generate Content" to fetch the transcript. 3.Copy Content: Click "Copy Content" to copy the generated transcript to your clipboard.

Requirements

The requirements.txt file includes: Django==4.2.4

youtube-transcript-api==0.6.0

beautifulsoup4==4.12.2

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

If you want to contribute to this project, please fork the repository and create a pull request with your changes. Ensure that your code adheres to the project's coding standards and passes all tests.