title	emoji	colorFrom	colorTo	sdk	sdk_version	app_file	pinned
Image To Audio	📢	gray	yellow	streamlit	1.29.0	app.py	false

The Image Reader 📢

The Image Reader 📢 - 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.