food-recommender / models.py
KShivendu's picture
feat: Upload code from repo
0ccfd2a
raw
history blame
869 Bytes
from typing import List
from pydantic import BaseModel, Field
class FoodItem(BaseModel):
"""Details of a food item or dish"""
name: str
ingredients_and_approach: str = Field(
description="Short description of the ingredients and the overall approach to cook"
)
taste_and_texture: str = Field(
description="Short description of how does it taste and feel in mouth"
)
is_vegetarian: bool # TODO: Can be ambiguous. LLM could ask more question while asking for preferences?
class ExtractedFoodName(BaseModel):
"""Food items / dishes extracted from output of an OCR"""
food_names: List[str] = Field(
description="Each item must be an actual food item because OCR data can have lot of noise. If doubtful, discard. I don't want False positives. You can also fix small typos based on your understanding"
)