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ensure image name is visual_search.jpg in readme
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@@ -1,4 +1,5 @@
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*.png
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*.jpg
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*.txt
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!nouns.txt
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Todo.md
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@@ -21,7 +21,7 @@ cd rewards-farmer
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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`.
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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`.
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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`.
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Activate the virtual environment & install dependencies (you may have to use `python -m poetry` instead of `poetry`).
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You must have Python 3.12+ and Poetry installed.
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