ollama/examples/typescript-airenamer

Renaming Files with AI

This example applies the benefits of the llava models to managing images. It will find any images in your current directory, generate keywords for the image, and then copy the file to a new name based on the keywords.

Running the example

1. Clone this repo and navigate to the examples/typescript-airenamer directory.
2. Install the dependencies with npm install.
3. Run npm run start.

Review the Code

The main part of the code is in the getkeywords function. It calls the /api/generate endpoint passing in the body:

{
    "model": "llava:13b-v1.5-q5_K_M",
    "prompt": `Describe the image as a collection of keywords. Output in JSON format. Use the following schema: { filename: string, keywords: string[] }`,
    "format": "json",
    "images": [image],
    "stream": false
  }

This demonstrates how to use images as well as format: json to allow calling another function. The images key takes an array of base64 encoded images. And format: json tells the model to output JSON instead of regular text. When using format: json, it's important to also say that you expect the output to be JSON in the prompt. Adding the expected schema to the prompt also helps the model understand what you're looking for.

The main function calls getkeywords passing it the base64 encoded image. Then it parses the JSON output, formats the keywords into a string, and copies the file to the new name.