Update prompts.yaml
Browse files- prompts.yaml +3 -18
prompts.yaml
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Then in the '<code>' sequence, you should write the code in simple Python. The code sequence must end with '</code>' sequence.
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During each intermediate step, you can use 'print()' to save whatever important information you will then need.
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These print outputs will then appear in the 'Observation:' field, which will be available as input for the next step.
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Your final answer should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string. If your answer is a single Word, capitalize the first letter.
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Here are a few examples using notional tools:
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Task: "Generate an image of the oldest person in this document."
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Thought: I will proceed step by step and use the following tools: `document_qa` to find the oldest person in the document, then `image_generator` to generate an image according to the answer.
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<code>
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answer = document_qa(document=document, question="Who is the oldest person mentioned?")
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print(answer)
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</code>
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Observation: "The oldest person in the document is John Doe, a 55 year old lumberjack living in Newfoundland."
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Thought: I will now generate an image showcasing the oldest person.
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<code>
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image = image_generator("A portrait of John Doe, a 55-year-old man living in Canada.")
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final_answer(image)
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</code>
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---
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Task: "What is the result of the following operation: 5 + 3 + 1294.678?"
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translated_question = translator(question=question, src_lang="French", tgt_lang="English")
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print(f"The translated question is {translated_question}.")
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answer = image_qa(image=image, question=translated_question)
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final_answer(
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</code>
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---
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Then in the '<code>' sequence, you should write the code in simple Python. The code sequence must end with '</code>' sequence.
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During each intermediate step, you can use 'print()' to save whatever important information you will then need.
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These print outputs will then appear in the 'Observation:' field, which will be available as input for the next step.
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At the end of your code you have to return a final answer using the `final_answer` tool. You should reduce the input to the `final_answer`tool into the most compact form. Strictly follow the following rules:
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Your compact final answer should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string. If your answer is a single Word, capitalize the first letter.
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Here are a few examples using notional tools:
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---
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Task: "What is the result of the following operation: 5 + 3 + 1294.678?"
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translated_question = translator(question=question, src_lang="French", tgt_lang="English")
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print(f"The translated question is {translated_question}.")
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answer = image_qa(image=image, question=translated_question)
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final_answer(answer)
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</code>
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