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Shega avatar

Application Name: "Ethiopian AI Art Share" (or a name in a local language) Core Functionality:

  • AI Image Generation:
    • Input: Allow users to submit text prompts in Amharic, Oromo, Tigrinya, and English.
    • Processing: Translate non-English prompts to English (if necessary for the chosen AI API). Send the English prompt to a selected AI image generation API (e.g., OpenAI's DALL-E 3, Stability AI).
    • Output: Receive the generated image URL or data.
  • Image Posting:
    • Action: Allow users to post the generated image with an optional caption (in any supported language).
    • Storage: Store the image (using Val Town Blob Storage or an external service) and associate it with the user and caption.
    • Display: Show a feed of recently posted images with their captions.
  • User Reactions:
    • Likes: Users can like images. Track the number of likes per image and which users liked it.
    • Comments: Users can post comments on images (in any supported language). Display comments below each image.
    • (Optional) Emojis: Allow users to react with a set of relevant emojis. Technical Requirements (Val.town Focus):
  • Develop Val Town functions to handle:
    • Receiving prompts and interacting with the AI API.
    • Storing and retrieving images.
    • Managing user accounts (basic, if needed for posting/reactions).
    • Handling likes and comments.
    • Serving the image feed data to the frontend.
  • Consider using Val Town's secrets management for API keys.
  • Plan for data storage (SQLite for metadata, Blob Storage for images, or external services). User Interface (Frontend - Separate Development):
  • Simple interface for submitting prompts.
  • Display of generated images.
  • Posting functionality with optional captions.
  • Image feed display.
  • Buttons/interfaces for liking and commenting.
  • User profiles (basic, showing their posts - optional for initial version).
  • Language selection (if feasible for the UI). Efficiency Considerations:
  • API Choice: Select an AI API that balances quality, speed, and cost.
  • Prompt Optimization: Guide users on writing effective prompts (perhaps with examples in local languages).
  • Image Optimization: Consider resizing or compressing images for faster loading.
  • Database Efficiency: Design database queries to be efficient for retrieving and displaying the image feed and reactions.
  • Asynchronous Operations: Utilize asynchronous functions in Val Town where appropriate to prevent blocking. Success Metrics:
  • Number of registered users (if applicable).
  • Number of images generated and posted.
  • Number of likes and comments.
  • User engagement (time spent in the app, frequency of use).
shega-ai_generated_pictures.web.val.run
Updated: April 28, 2025