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64 lines
2.7 KiB
Python
64 lines
2.7 KiB
Python
from llama_index import QueryKeywordExtractPrompt
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CONVERSATION_TITLE_PROMPT = (
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"Human:{query}\n-----\n"
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"Help me summarize the intent of what the human said and provide a title, the title should not exceed 20 words.\n"
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"If the human said is conducted in Chinese, you should return a Chinese title.\n"
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"If the human said is conducted in English, you should return an English title.\n"
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"title:"
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)
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CONVERSATION_SUMMARY_PROMPT = (
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"Please generate a short summary of the following conversation.\n"
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"If the conversation communicating in Chinese, you should return a Chinese summary.\n"
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"If the conversation communicating in English, you should return an English summary.\n"
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"[Conversation Start]\n"
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"{context}\n"
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"[Conversation End]\n\n"
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"summary:"
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)
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INTRODUCTION_GENERATE_PROMPT = (
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"I am designing a product for users to interact with an AI through dialogue. "
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"The Prompt given to the AI before the conversation is:\n\n"
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"```\n{prompt}\n```\n\n"
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"Please generate a brief introduction of no more than 50 words that greets the user, based on this Prompt. "
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"Do not reveal the developer's motivation or deep logic behind the Prompt, "
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"but focus on building a relationship with the user:\n"
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)
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MORE_LIKE_THIS_GENERATE_PROMPT = (
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"-----\n"
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"{original_completion}\n"
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"-----\n\n"
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"Please use the above content as a sample for generating the result, "
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"and include key information points related to the original sample in the result. "
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"Try to rephrase this information in different ways and predict according to the rules below.\n\n"
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"-----\n"
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"{prompt}\n"
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)
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SUGGESTED_QUESTIONS_AFTER_ANSWER_INSTRUCTION_PROMPT = (
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"Please help me predict the three most likely questions that human would ask, "
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"and keeping each question under 20 characters.\n"
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"The output must be in JSON format following the specified schema:\n"
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"[\"question1\",\"question2\",\"question3\"]\n"
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)
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QUERY_KEYWORD_EXTRACT_TEMPLATE_TMPL = (
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"A question is provided below. Given the question, extract up to {max_keywords} "
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"keywords from the text. Focus on extracting the keywords that we can use "
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"to best lookup answers to the question. Avoid stopwords."
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"I am not sure which language the following question is in. "
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"If the user asked the question in Chinese, please return the keywords in Chinese. "
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"If the user asked the question in English, please return the keywords in English.\n"
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"---------------------\n"
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"{question}\n"
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"---------------------\n"
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"Provide keywords in the following comma-separated format: 'KEYWORDS: <keywords>'\n"
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)
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QUERY_KEYWORD_EXTRACT_TEMPLATE = QueryKeywordExtractPrompt(
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QUERY_KEYWORD_EXTRACT_TEMPLATE_TMPL
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)
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