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Jason
41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
# This file was generated by instructor
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# timestamp: 2023-09-09T20:33:42.572627
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# task_name: extract_person
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# api_path: /api/v1/extract_person
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# json_schema_path: ./input.json
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from fastapi import FastAPI
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from pydantic import BaseModel
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from jinja2 import Template
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from models import ExtractPerson
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import openai
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import instructor
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instructor.patch()
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app = FastAPI()
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class TemplateVariables(BaseModel):
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biography: str
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class RequestSchema(BaseModel):
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template_variables: TemplateVariables
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model: str
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temperature: int
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PROMPT_TEMPLATE = Template("""Extract the person from the following: {{biography}}""".strip())
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@app.post("/api/v1/extract_person", response_model=ExtractPerson)
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async def extract_person(input: RequestSchema) -> ExtractPerson:
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rendered_prompt = PROMPT_TEMPLATE.render(**input.template_variables.model_dump())
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return await openai.ChatCompletion.acreate(
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model=input.model,
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temperature=input.temperature,
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response_model=ExtractPerson,
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messages=[
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{"role": "user", "content": rendered_prompt}
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]
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) # type: ignore |