mirror of
https://github.com/hwchase17/langchain
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28 lines
710 B
Python
28 lines
710 B
Python
from langchain.chat_models import ChatAnthropic
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from langchain.prompts import ChatPromptTemplate
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from langchain.pydantic_v1 import BaseModel
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from langchain.schema.output_parser import StrOutputParser
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from .prompts import answer_prompt
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from .retriever_agent import executor
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prompt = ChatPromptTemplate.from_template(answer_prompt)
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model = ChatAnthropic(model="claude-2", temperature=0, max_tokens_to_sample=1000)
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chain = (
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{"query": lambda x: x["query"], "information": executor | (lambda x: x["output"])}
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| prompt
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| model
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| StrOutputParser()
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)
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# Add typing for the inputs to be used in the playground
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class Inputs(BaseModel):
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query: str
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chain = chain.with_types(input_type=Inputs)
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