Find Videos

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Last updated 1 month ago

Find Videos

Overview

This is a description of one of the six use cases for the AI Search Engine—retrieving internet videos related to the requested subject.

An output example

Request: "how to work with github"

Response:

[
  {
    "link": "https://www.youtube.com/watch?v=iv8rSLsi1xo",
    "thumbnail": "https://dmwtgq8yidg0m.cloudfront.net/medium/_cYAcql_-g0w-video-thumb.jpeg",
    "title": "GitHub Tutorial - Beginner's Training Guide"
  },
  {
    "link": "https://www.youtube.com/watch?v=tRZGeaHPoaw",
    "thumbnail": "https://dmwtgq8yidg0m.cloudfront.net/medium/-bforsTVDxRQ-video-thumb.jpeg",
    "title": "Git and GitHub Tutorial for Beginners"
  }
]

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 video-related subject).

How to make a call

Check how this call is made in the example below.

Note that queries can include advanced search syntax:

Search for an exact match: Enter a word or phrase using \" before and after it. 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.

API Schema

Example

First, the standard chat completion endpoint with your query is called. It returns an ID, which must then be passed as the sole input parameter followup_id to the specific second endpoint:

import requests
from openai import OpenAI

# Insert your LAPLAS API Key instead of <YOUR_API_KEY>:
API_KEY = '<YOUR_API_KEY>'
API_URL = 'https://api.apilaplas.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": "how to work with github",
            },
        ],
    )
    
    # Extract the ID from the response
    gen_id = response.id  
    print(f"Generated ID: {gen_id}")
    
    # Call this second endpoint with the generated ID
    get_videos(gen_id)

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

# Run the function
complete_chat()

Model Response:

[
  {
    "link": "https://www.youtube.com/watch?v=iv8rSLsi1xo",
    "thumbnail": "https://dmwtgq8yidg0m.cloudfront.net/medium/_cYAcql_-g0w-video-thumb.jpeg",
    "title": "GitHub Tutorial - Beginner's Training Guide"
  },
  {
    "link": "https://www.youtube.com/watch?v=tRZGeaHPoaw",
    "thumbnail": "https://dmwtgq8yidg0m.cloudfront.net/medium/-bforsTVDxRQ-video-thumb.jpeg",
    "title": "Git and GitHub Tutorial for Beginners"
  }
]

PreviousFind Images NextFind the Weather

Last updated 1 month ago

Overview

This is a description of one of the six use cases for the AI Search Engine—retrieving internet videos related to the requested subject.

An output example

Request: "how to work with github"

Response:

[
  {
    "link": "https://www.youtube.com/watch?v=iv8rSLsi1xo",
    "thumbnail": "https://dmwtgq8yidg0m.cloudfront.net/medium/_cYAcql_-g0w-video-thumb.jpeg",
    "title": "GitHub Tutorial - Beginner's Training Guide"
  },
  {
    "link": "https://www.youtube.com/watch?v=tRZGeaHPoaw",
    "thumbnail": "https://dmwtgq8yidg0m.cloudfront.net/medium/-bforsTVDxRQ-video-thumb.jpeg",
    "title": "Git and GitHub Tutorial for Beginners"
  }
]

How to make a call

Check how this call is made in the example below.

Note that queries can include advanced search syntax:

Search for an exact match: Enter a word or phrase using \" before and after it. 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.

API Schema

Example

First, the standard chat completion endpoint with your query is called. It returns an ID, which must then be passed as the sole input parameter followup_id to the specific second endpoint:

import requests
from openai import OpenAI

# Insert your LAPLAS API Key instead of <YOUR_API_KEY>:
API_KEY = '<YOUR_API_KEY>'
API_URL = 'https://api.apilaplas.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": "how to work with github",
            },
        ],
    )
    
    # Extract the ID from the response
    gen_id = response.id  
    print(f"Generated ID: {gen_id}")
    
    # Call this second endpoint with the generated ID
    get_videos(gen_id)

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

# Run the function
complete_chat()

Model Response:

[
  {
    "link": "https://www.youtube.com/watch?v=iv8rSLsi1xo",
    "thumbnail": "https://dmwtgq8yidg0m.cloudfront.net/medium/_cYAcql_-g0w-video-thumb.jpeg",
    "title": "GitHub Tutorial - Beginner's Training Guide"
  },
  {
    "link": "https://www.youtube.com/watch?v=tRZGeaHPoaw",
    "thumbnail": "https://dmwtgq8yidg0m.cloudfront.net/medium/-bforsTVDxRQ-video-thumb.jpeg",
    "title": "Git and GitHub Tutorial for Beginners"
  }
]