Find Images

Overview

This is a description of one of the six use cases for the bagoodex/bagoodex-search-v1 model—retrieving internet images related to the requested subject.

An output example

Request: "giant dragonflies"

Response:

[
  {
    "source": "",
    "original": "https://images.theconversation.com/files/234118/original/file-20180829-195319-1d4y13t.jpg?ixlib=rb-4.1.0&rect=0%2C7%2C1200%2C790&q=45&auto=format&w=926&fit=clip",
    "title": "Paleozoic era's giant dragonflies ...",
    "source_name": "The Conversation"
  },
  {
    "source": "",
    "original": "https://s3-us-west-1.amazonaws.com/scifindr/articles/image3s/000/002/727/large/meganeuropsis-eating-roach_lucas-lima_3x4.jpg?1470033295",
    "title": "huge dragonfly ...",
    "source_name": "Earth Archives"
  },
  {
    "source": "",
    "original": "https://s3-us-west-1.amazonaws.com/scifindr/articles/image2s/000/002/727/large/meganeuropsis_lucas-lima_4x3.jpg?1470033293",
    "title": "huge dragonfly ...",
    "source_name": "Earth Archives"
  },
  {
    "source": "",
    "original": "https://static.wikia.nocookie.net/prehistoricparkip/images/3/37/Meganeurid_bbc_prehistoric_.jpg/revision/latest?cb=20120906182204",
    "title": "Giant Dragonfly | Prehistoric Park Wiki ...",
    "source_name": "Prehistoric Park Wiki - Fandom"
  },
  {
    "source": "",
    "original": "https://i.redd.it/rig989kttmc71.jpg",
    "title": "This pretty large dragonfly we found ...",
    "source_name": "Reddit"
  },
  {
    "source": "",
    "original": "https://upload.wikimedia.org/wikipedia/commons/f/fc/Meganeurites_gracilipes_restoration.webp",
    "title": "Meganisoptera - Wikipedia",
    "source_name": "Wikipedia"
  },
  {
    "source": "",
    "original": "https://sites.wustl.edu/monh/files/2019/12/woman-and-meganeura-350x263.jpeg",
    "title": "Dragonflies and Damselflies of Missouri ...",
    "source_name": "Washington University"
  },
  {
    "source": "",
    "original": "http://www.stancsmith.com/uploads/4/8/9/6/48964465/meganeuropsis-giantdragonfly_orig.jpg",
    "title": "Ginormous Dragonfly - Stan C ...",
    "source_name": "Stan C. Smith"
  },
  {
    "source": "",
    "original": "https://static.sciencelearn.org.nz/images/images/000/004/172/original/INSECTS_ITV_Image_map_Aquatic_insects_Dragonfly.jpg?1674173331",
    "title": "Bush giant dragonfly — Science ...",
    "source_name": "Science Learning Hub"
  },
  {
    "source": "",
    "original": "https://i.ytimg.com/vi/ixlQX7lV8dc/sddefault.jpg",
    "title": "Meganeura' - The Prehistoric Dragonfly ...",
    "source_name": "YouTube"
  }
]

The output will be the requested information retrieved from the internet—or empty brackets [] if nothing was found or if the entered query does not match the selected search type (for example, entering 'owtjtwjtwjtwojo' instead of a valid image-related subject).

Individual fields for which no information was found are also returned empty.

How to make a call

First, you must first call the standard chat completion endpoint with your query. (See the Chat Completion call in the corresponding section of this documentation or check how this call is made in the example below.)

Note that queries can include Google's advanced search syntax:

• Search for an exact match: Enter a word or phrase inside quotes. For example, "tallest building".

• Search for a specific site: Enter site: in front of a site or domain. For example, site:youtube.com cat videos.

• Exclude words from your search: Enter - in front of a word that you want to leave out. For example, jaguar speed -car.

The chat completion endpoint returns an ID, which must then be passed as the sole input parameter followup_id to the bagoodex/images endpoint below.

API Schema

get

/v1/bagoodex/images

Authorizations

Query parameters

Bagoodex.v1.FetchDetailsDTOobjectrequired

Responses

application/json

cURL

JavaScript

Python

HTTP

cURL

curl -L \
  --url 'https://api.aimlapi.com/v1/bagoodex/images?Bagoodex.v1.FetchDetailsDTO=%5Bobject+Object%5D' \
  --header 'Authorization: Bearer JWT'

default

default

[
  {
    "source": "text",
    "original": "https://example.com",
    "title": "text",
    "source_name": "text"
  }
]

Example

import requests
from openai import OpenAI

# Insert your AIML API Key instead of <YOUR_API_KEY>:
API_KEY = '<YOUR_API_KEY>'
API_URL = 'https://api.aimlapi.com'

# Call the standart chat completion endpoint to get an ID
def complete_chat():
    client = OpenAI(
        base_url=API_URL,
        api_key=API_KEY,
    )    

    response = client.chat.completions.create(
        model="bagoodex/bagoodex-search-v1",
        messages=[
            {
                "role": "user",
                "content": "giant dragonflies",
            },
        ],
    )
    
    # Extract the ID from the response
    gen_id = response.id  
    print(f"Generated ID: {gen_id}")
    
    # Call the Bagoodex endpoint with the generated ID
    get_images(gen_id)

def get_images(gen_id):
    params = {'followup_id': gen_id}
    headers = {'Authorization': f'Bearer {API_KEY}'}
    response = requests.get(f'{API_URL}/v1/bagoodex/images', headers=headers, params=params)
    
    print(response.json())

# Run the function
complete_chat()

Model Response:

d