add visual search custom image instructions

2026-09-17 01:41:37 +00:00 · 2026-08-24 09:19:51 -04:00
parent 06e4f426a2
commit a785b29494
2 changed files with 5 additions and 1 deletions
@@ -19,6 +19,8 @@ cp /path/to/my_amazing_wordlist.txt nouns.txt

 You should also have an Ollama account created (for the LLM), the `ollama` tool installed, and you should have signed in to the Ollama CLI via the command line using `ollama signin`. This project will use a minimal amount of Ollama cloud usage using `gemma4:cloud`. If you wish to use a different model, please change the `model` parameter in the `get_ollama_response` function in `src/llm_utils.py`.

+You must also provide an image for the script to upload to complete the visual search task. Currently, this image is named `keypress_times.png` and is located in the root directory of the project (yes, I used a random image from my keyboard analysis to do this). You may provide an image of your own, just ensure that the absolute path of the image is placed in the `VISUAL_SEARCH_IMAGE_PATH` constant at the top of `rewards_tasks.py`.
+
 Activate the virtual environment & install dependencies (you may have to use `python -m poetry` instead of `poetry`).
 You must have Python 3.14+ and Poetry installed.