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85 lines
2.5 KiB
Python
85 lines
2.5 KiB
Python
from openai_function_call import OpenAISchema
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from pydantic import Field
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from typing import List
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from tenacity import retry, stop_after_attempt
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import openai
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import enum
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class SearchType(str, enum.Enum):
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VIDEO = "video"
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EMAIL = "email"
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class Search(OpenAISchema):
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"""
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Search query for a single request
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Tips:
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- Be specific with your query, use key words and multiple representations of the same thing, e.g. "video" and "video clip" or "SSO" and "single sign on"
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- Use the title to describe the request, e.g. "Video from last week about the investment case study"
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"""
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title: str = Field(..., description="Title of the request")
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query: str = Field(..., description="Query to search for relevant content")
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type: SearchType = Field(..., description="Type of search")
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async def execute(self):
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import asyncio
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await asyncio.sleep(1)
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print(
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f"Searching for `{self.title}` with query `{self.query}` using `{self.type}`"
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)
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class MultiSearch(OpenAISchema):
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"""
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Segment a request into multiple search queries
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Tips:
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- Do not overlap queries, e.g. "video" and "video clip" are too similar
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"""
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searches: List[Search] = Field(..., description="List of searches")
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def execute(self):
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import asyncio
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loop = asyncio.get_event_loop()
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tasks = asyncio.gather(*[search.execute() for search in self.searches])
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return loop.run_until_complete(tasks)
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@retry(stop=stop_after_attempt(3))
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def segment(data: str) -> MultiSearch:
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completion = openai.ChatCompletion.create(
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model="gpt-3.5-turbo-0613",
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temperature=0,
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functions=[MultiSearch.openai_schema],
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function_call={"name": MultiSearch.openai_schema['name']},
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messages=[
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{
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"role": "system",
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"content": "You are a helpful assistant.",
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},
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{
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"role": "user",
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"content": f"Consider the data below:\n{data} and segment it into multiple search queries",
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},
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],
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max_tokens=1000,
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)
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return MultiSearch.from_response(completion)
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if __name__ == "__main__":
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queries = segment(
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"Please send me the video from last week about the investment case study and also documents about your GPDR policy?"
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)
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queries.execute()
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# >>> Searching for `Video` with query `investment case study` using `SearchType.VIDEO`
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# >>> Searching for `Documents` with query `GPDR policy` using `SearchType.EMAIL`
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