Wywoływanie zewnętrznych API

Tworzenie systemów AI z OpenAI API

Francesca Donadoni

Curriculum Manager, DataCamp

Biblioteka requests w Pythonie do API

Diagram przedstawiający zapytanie do API Art Institute of Chicago

Biblioteka requests w Pythonie do API

Zaimportuj bibliotekę
```
import requests
```

Podaj adres URL

url = "https://api.artic.edu/api/v1/artworks/search"

Podaj parametry zapytania
```
querystring = {"q":keyword}
```

Pobierz odpowiedź

response = requests.request("GET", url, params=querystring)

¹ https://api.artic.edu/docs/#quick-start

Pakowanie funkcji

import requests

def get_artwork(keyword):
    url = "https://api.artic.edu/api/v1/artworks/search"
    querystring = {"q":keyword}
    response = requests.request("GET", url, params=querystring)
    return response.text

Dodawanie kontekstu

response = client.chat.completions.create(
    model="gpt-4o-mini",

    messages=[
{"role": "system",
 "content": "You are an AI assistant, a specialist in history 
    of art. You should interpret the user prompt, and based on it extract one 
    keyword for recommending artwork related to their preference."},

{"role": "user", 
 "content": "I don't have much time to visit the museum and would 
    like some recommendations. I like the seaside and quiet places."}
],

Dodawanie funkcji do narzędzi

    function_definition=[{"type": "function",
            "function" : {
                "name": "get_artwork",
                "description": "This function calls the Art Institute of Chicago API 
                                to find artwork that matches a keyword",
                "parameters": {

                    "type": "object",
                    "properties": {
                        "artwork keyword": {
                            "type": "string",
                            "description": "The keyword to be passed to the 
                                            get_artwork function."}}},
                "result": {"type": "string"}
            }} ] )

Łącząc wszystko razem

import json

if response.choices[0].finish_reason=='tool_calls':
    function_call = response.choices[0].message.tool_calls[0].function

    if function_call.name == "get_artwork":
        artwork_keyword = json.loads(function_call.arguments)["artwork keyword"]
        artwork = get_artwork(artwork_keyword)

        if artwork: 
            print(f"Here are some recommendations: 
                    {[i['title'] for i in json.loads(artwork)['data']]}")
        else:
            print("Apologies, I couldn't make any recommendations based on the request.")

    else:
        print("Apologies, I couldn't find any artwork.")

else:
    print("I am sorry, but I could not understand your request.")

Końcowa odpowiedź

Here are some recommendations: ['Seaside, Port of Honfleur', 
'Little Landscape at the Seaside (Kleine Landschaft am Meer)', 
'Museum of Contemporary Art, Niterói, Rio de Janeiro, Brazil, Four Sketches',
'A seaside outing', 'Stacks of Wheat (End of Day, Autumn)', 'Stack of Wheat', 
'Stacks of Wheat (Sunset, Snow Effect)', 'Stacks of Wheat (End of Summer)', 
'Stack of Wheat (Thaw, Sunset)', 'Waitress at a Seaside Teahouse']

Impresjonistyczny obraz nadmorski z łodzią

¹ Seaside, Port of Honfleur | The Art Institute of Chicago

Czas na ćwiczenia!

Tworzenie systemów AI z OpenAI API