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The Image Reader πŸ“’

The Image Reader πŸ“’ - Playground

This application analyzes the uploaded image, generates an imaginative phrase, and then converts it into audio.

  • For image_to_audio following technologies were used:
    • Image Reader:
      • HuggingFace image-to-text task used with Salesforce/blip-image-captioning-base pretrained model. Which produces a small description about the image.
      • Salesforce/blip-image-captioning-base
        • BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
    • Generate an imaginative phrase:
      • OpenAI GPT-3.5-Turbo used to produce an imaginative narrative from the description generated earlier.
      • The phrase generated with more than 40 words.
      • GPT-3.5 Turbo
    • text-to-audio:
      • suno/bark-small used to generate the audio version of the imaginative narrative earlier.
      • suno/bark-small
        • BARK: Bark is a transformer-based text-to-audio model created by Suno. Bark can generate highly realistic, multilingual speech as well as other audio - including music, background noise and simple sound effects. The model can also produce nonverbal communications like laughing, sighing and crying.