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def extract_product_attributes(product_name):
    prompt = f"Given the product name '{product_name}', please provide its attributes in the following format:\nType: {{type}}\nMaterial: {{material}}\nSize: {{size}}\n\n"
    response = openai.Completion.create(
        engine="text-davinci-002",
        prompt=prompt,
        max_tokens=100,
        n=1,
        stop=None,
        temperature=0,  # Set temperature to a low value for more deterministic output
    )

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import uuid

from arcservice.core import db
from arcservice.models import Bundle, ProductCategory, ProductOptionSet
from arcservice.models.bundles.component import (
    BundleOptionSet,
    BundleProduct,
    NestedBundle,
)
from arcservice.services.projects import product_svc

ryanwang520

#!/usr/bin/env python
import pdb
import random
import datetime as dt
from venv import create
import pandas as pd
from dash import Dash, html, dcc, Input, Output, State, no_update, dash_table
import plotly.express as px
from datetime import date

ryanwang520

#!/usr/bin/env python
import pdb
import random
import datetime as dt
from venv import create
import pandas as pd
from dash import Dash, html, dcc, Input, Output, State, no_update, dash_table
import plotly.express as px
from datetime import date

ryanwang520

# -*- coding: utf-8 -*-
import dash
import dash_html_components as html

from dash.dependencies import Input, Output, State
from dash_table import DataTable

import pandas as pd

url = "https://github.com/plotly/datasets/raw/master/" "26k-consumer-complaints.csv"

ryanwang520

# -*- coding: utf-8 -*-
import dash
import dash_html_components as html

from dash.dependencies import Input, Output, State
from dash_table import DataTable

import pandas as pd

url = "https://github.com/plotly/datasets/raw/master/" "26k-consumer-complaints.csv"

ryanwang520

# -*- coding: utf-8 -*-
import dash
import dash_html_components as html

from dash.dependencies import Input, Output, State
from dash_table import DataTable

import pandas as pd

url = "https://github.com/plotly/datasets/raw/master/" "26k-consumer-complaints.csv"

ryanwang520

from os import listdir
from dash import Dash, html, dcc, Input, Output, State, dash_table
import pandas as pd
import plotly.express as px
import random

from datetime import date


app = Dash(

ryanwang520

from dash import Dash, html, dcc, Input, Output, State
import pandas as pd
import plotly.express as px
import random

from datetime import date


app = Dash(
    __name__,

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type ProductOptionSet = {
  id: string;
  name: string;
  is_optional: boolean; // 是否可选
  default_product_id?: string; // 默认选项
  products: {
    id: string;
    uuid: string;
    name: string;
  }[];