Upload prompt_template_vis.json

prompt_template_vis.json

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+{
+    "retool": "Solve the following problem step by step. You now have the ability to selectively write executable Python code to enhance your reasoning process. The Python code will be executed by an external sandbox, and the output (wrapped in `<interpreter>output_str</interpreter>`) can be returned to aid your reasoning and help you arrive at the final answer. The Python code should be complete scripts, including necessary imports. \nEach code snippet is wrapped with `<code>\n```python\ncode snippet\n```\n</code>`.\nThe last part of your response should be in the following format:\n<answer>\n\\boxed{{'The final answer goes here.'}}\n</answer>\n\n*user question:*\nAnswer the following Math Problem and put the answer in the format of \\boxed{{answer}}\n\n{query}\n\n\nRemember to place the final answer in the last part using the format: \n<answer>\n\\boxed{{'The final answer goes here.'}}\n</answer>",
+    "vistool": "Solve the following problem step by step. You now have the ability to selectively write executable Python code to enhance your reasoning process. The Python code will be executed by an external sandbox.\n\nFor all the provided images, in order, the i-th image has already been read into the global variable `image_clue_i` using the PIL.Image.open() function. When writing Python code, you can directly use these variables without needing to read them again.\n\nSince you are dealing with the VQA task, you can use the matplotlib library to further visualize data and process images to aid your reasoning. For example, you can crop a specific area of an image to assist in your reasoning or visualize certain data to help with analysis. Note that when you use matplotlib to visualize data or further process images, you need to use plt.show() to display these images; there is no need to save them. Do not use image processing libraries like cv2 or PIL.\n\nThe output (wrapped in `<interpreter>output_str</interpreter>`) can be returned to aid your reasoning and help you arrive at the final answer. The Python code should be complete scripts, including necessary imports. \nEach code snippet is wrapped with `<code>\n```python\ncode snippet\n```\n</code>`.\nThe last part of your response should be in the following format:\n<answer>\n\\boxed{{'The final answer goes here.'}}\n</answer>\n\n*user question:*\nAnswer the following Problem with an image provided and put the answer in the format of \\boxed{{answer}}\n\n{query}\n\n\nRemember to place the final answer in the last part using the format: \n<answer>\n\\boxed{{'The final answer goes here.'}}\n</answer>"
+}