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File metadata and controls

executable file
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52 lines (45 loc) · 2.18 KB

Shared Dependencies:

  1. Exported Variables:

    • userProfile: User profile data
    • podcastList: List of podcasts
    • currentPodcast: Currently selected or active podcast
    • authToken: Authentication token for the user
  2. Data Schemas:

    • User: Schema for user profile data
    • Podcast: Schema for podcast data
    • Guest: Schema for guest data
  3. DOM Element IDs:

    • loginButton: Button for user login
    • signupButton: Button for user signup
    • podcastContainer: Container for displaying podcast
    • editPodcastButton: Button for editing podcast
    • publishPodcastButton: Button for publishing podcast
    • sharePodcastButton: Button for sharing podcast
    • searchPodcastInput: Input field for searching podcasts
  4. Message Names:

    • loginSuccess: Message for successful login
    • signupSuccess: Message for successful signup
    • podcastEditSuccess: Message for successful podcast edit
    • podcastPublishSuccess: Message for successful podcast publish
    • podcastShareSuccess: Message for successful podcast share
  5. Function Names:

    • loginUser(): Function for user login
    • signupUser(): Function for user signup
    • editPodcast(): Function for editing podcast
    • publishPodcast(): Function for publishing podcast
    • sharePodcast(): Function for sharing podcast
    • searchPodcast(): Function for searching podcasts
  6. API Endpoints:

    • /login: Endpoint for user login
    • /signup: Endpoint for user signup
    • /editPodcast: Endpoint for editing podcast
    • /publishPodcast: Endpoint for publishing podcast
    • /sharePodcast: Endpoint for sharing podcast
    • /searchPodcast: Endpoint for searching podcasts
  7. Shared Libraries and Frameworks:

    • Flask: Python web framework used in backend
    • SQLite and PostgreSQL: Databases used in development and production respectively
    • Firebase Auth: Used for user authentication in frontend
    • WebRTC: Used for real-time communication in frontend
    • OpenAI API and Eleven Labs API: Used in backend for language processing and voice replication respectively
    • Docker and Kubernetes: Used for containerization and orchestration of the application.