Generate Engaging Video Descriptions with n1jl0091 Cognitive Actions

24 Apr 2025
Generate Engaging Video Descriptions with n1jl0091 Cognitive Actions

In today's digital landscape, the ability to automatically generate descriptions for multimedia content is a game-changer for developers. The n1jl0091/video-llava-7b-hf_replicate_n1jl0091 spec provides a powerful Cognitive Action that utilizes the Video-LLaVa model to generate detailed text descriptions from videos and images. This open-source multimodal model excels in creating interleaving descriptions that enhance user engagement and accessibility. Let’s dive into how you can integrate this capability into your applications.

Prerequisites

Before you get started, ensure that you have access to the Cognitive Actions platform and obtain your API key. You’ll need to include this key in your requests to authenticate your API calls. Typically, this involves passing the API key in the request headers.

Cognitive Actions Overview

Generate Video Descriptions

The Generate Video Descriptions action allows you to upload an image or video and receive a detailed text description of its contents. This action falls under the video-captioning category and is designed to provide insightful summaries based on the visual input provided.

Input

The required input for this action includes an array of video URIs and prompts that guide the description generation. Below is the schema of the input parameters:

  • videos (required): An array of URIs pointing to video resources. Must be valid URI format.
  • prompts (required): An array of strings used to generate responses or actions.
  • temperature (optional): Controls the randomness of the response generation. Default is 0.1.
  • numberOfFrames (optional): Specifies the number of frames to be processed or generated. Default is 10.
  • topProbability (optional): The cumulative probability threshold for top-p sampling. Default is 0.9.
  • maximumNewTokens (optional): The maximum number of new tokens to generate. Default is 500.

Here’s an example input that illustrates how to structure your request:

{
  "videos": [
    "https://replicate.delivery/pbxt/Lzl3gqYd6ExXDlkvvpAwtQWhWzIOtCiYW1ztjoHvaVVFNEzt/3325978-hd_1920_1080_24fps.mp4"
  ],
  "prompts": [
    "What is happening in this video?"
  ],
  "temperature": 0.1,
  "numberOfFrames": 10,
  "topProbability": 0.9,
  "maximumNewTokens": 500
}

Output

The action will return a text description of the video content. For instance, the output for the above input might look like this:

[
  "In this video, a woman is standing in a kitchen and preparing food."
]

This output provides a succinct yet informative summary of the video, which can be utilized in various applications, from content creation to accessibility enhancements.

Conceptual Usage Example (Python)

Here's how you might structure a Python script to call this Cognitive Action:

import requests
import json

# Replace with your Cognitive Actions API key and endpoint
COGNITIVE_ACTIONS_API_KEY = "YOUR_COGNITIVE_ACTIONS_API_KEY"
COGNITIVE_ACTIONS_EXECUTE_URL = "https://api.cognitiveactions.com/actions/execute" # Hypothetical endpoint

action_id = "5776e8e3-0a3a-44e3-b927-d9ffa6f71b3a" # Action ID for Generate Video Descriptions

# Construct the input payload based on the action's requirements
payload = {
  "videos": [
    "https://replicate.delivery/pbxt/Lzl3gqYd6ExXDlkvvpAwtQWhWzIOtCiYW1ztjoHvaVVFNEzt/3325978-hd_1920_1080_24fps.mp4"
  ],
  "prompts": [
    "What is happening in this video?"
  ],
  "temperature": 0.1,
  "numberOfFrames": 10,
  "topProbability": 0.9,
  "maximumNewTokens": 500
}

headers = {
    "Authorization": f"Bearer {COGNITIVE_ACTIONS_API_KEY}",
    "Content-Type": "application/json"
}

try:
    response = requests.post(
        COGNITIVE_ACTIONS_EXECUTE_URL,
        headers=headers,
        json={"action_id": action_id, "inputs": payload} # Hypothetical structure
    )
    response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx)

    result = response.json()
    print("Action executed successfully:")
    print(json.dumps(result, indent=2))

except requests.exceptions.RequestException as e:
    print(f"Error executing action {action_id}: {e}")
    if e.response is not None:
        print(f"Response status: {e.response.status_code}")
        try:
            print(f"Response body: {e.response.json()}")
        except json.JSONDecodeError:
            print(f"Response body: {e.response.text}")

In this example, you would replace the API key and the endpoint with your actual values. The payload variable is where you construct the input for the action based on the required schema. The script executes the action and prints the results or any errors encountered during the request.

Conclusion

The Generate Video Descriptions action is a powerful tool for developers looking to enhance their applications with automatic video captioning capabilities. By integrating this action, you can improve user engagement, accessibility, and content discoverability. Start experimenting with this action today and explore the myriad of possibilities it offers for your projects!

← Back to All Articles