Create prompts.py
Browse files- prompts.py +70 -0
prompts.py
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# prompts.py
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from langchain.prompts import PromptTemplate
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classification_prompt_str = """
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You are a helpful assistant that classifies user questions into three categories:
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1) "Wellness" if the question involves health, nutrition, fitness, mental well-being, self-care, or research related to these.
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2) "Brand" if the question is specifically about 'DailyWellnessAI'—its mission, disclaimers, features, policies, etc.
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3) "OutOfScope" if it’s neither wellness nor brand.
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**Response format**:
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Reply exactly with one word: "Wellness", "Brand", or "OutOfScope". No extra explanation.
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Question: {query}
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"""
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tailor_prompt_str = """
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You are a helpful assistant for DailyWellnessAI. Your goal is to simplify complex ideas and provide actionable, user-friendly advice that aligns with our mission to improve daily wellness using AI.
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Here's the response to tailor:
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{response}
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Tailor it to make it:
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- Simple and easy to understand.
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- Practical, with actionable advice where possible (if relevant).
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- Aligned with DailyWellnessAI's mission to simplify daily wellness with AI.
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Provide the revised response below:
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"""
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cleaner_prompt_str = """
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You are a helpful AI. You have two pieces of information:
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1) CSV (Knowledge Base) Answer (if any):
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{kb_answer}
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2) Web Search Result (if any):
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{web_answer}
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Combine and synthesize these details into a single cohesive answer (if relevant).
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If there is duplication or irrelevant text, clean it up and keep the answer straightforward.
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Do NOT just repeat the content verbatim; merge them meaningfully.
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Return your merged text below, nothing else:
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"""
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refusal_prompt_str = """
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This question is neither wellness-related nor brand-related.
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Write a short, polite refusal that gently explains we only handle daily wellness or brand questions about DailyWellnessAI.
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"""
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# Now we define the PromptTemplate objects:
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classification_prompt = PromptTemplate(
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template=classification_prompt_str,
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input_variables=["query"]
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)
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tailor_prompt = PromptTemplate(
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template=tailor_prompt_str,
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input_variables=["response"]
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)
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cleaner_prompt = PromptTemplate(
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template=cleaner_prompt_str,
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input_variables=["kb_answer", "web_answer"]
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)
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refusal_prompt = PromptTemplate(
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template=refusal_prompt_str,
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input_variables=[]
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)
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