afspiegeling/rewards-farmer
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merge upstream: the random image downloader

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Both sides added a line after *.txt in .gitignore, so keep both: *.log
from the logging change here and visual_search.json from upstream.
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Ethan Stoner
2026-08-27 15:13:01 -07:00
parent 817d5bb63d 9e919e4ae2
commit b697ea198b
5 changed files with 722 additions and 3 deletions
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README.md
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@@ -37,7 +37,7 @@ $env:QUERY_SOURCE="trends"; python src/main.py # PowerShell
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 `visual_search.jpg` and is located in the root directory of the project. 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`.
You must also provide an image for the script to upload to complete the visual search task. A helper script is included at `src/random_image_for_visual_search.py` that will download an image from Wikipedia named `visual_search.jpg` into the project root for you. You may also 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 3.12+ and Poetry installed.