text-generation

Enhance Your Media with Descriptive Text Generation Using Minicpm V 26

26 Apr 2025
Enhance Your Media with Descriptive Text Generation Using Minicpm V 26

In today's digital landscape, creating engaging and informative content is crucial for capturing audience attention. Minicpm V 26 offers powerful Cognitive Actions designed to simplify the process of generating descriptive text for images and videos. By leveraging advanced AI algorithms, developers can automate the creation of detailed media descriptions, saving time and enhancing the accessibility of visual content. This service is particularly beneficial for content creators, marketers, and educators looking to improve their media presentations or provide better context for their audiences.

Common use cases for this action include enhancing e-commerce product listings with detailed descriptions of images, generating captions for social media posts, and providing context for educational videos. With Minicpm V 26, developers can effortlessly integrate this functionality into their applications, allowing them to focus on creativity rather than manual content generation.

Prerequisites

To use the Cognitive Actions provided by Minicpm V 26, you'll need an API key and a basic understanding of making API calls.

Generate Media Description

The "Generate Media Description" action is designed to create detailed descriptions for images or videos based on a provided media URI. This action predicts and generates descriptive text that accurately represents the content of the media, enhancing user understanding and engagement.

Input Requirements

To use this action, you need to provide:

  • imageUri: A valid URI pointing to the image or video you want to describe.
  • descriptionPrompt (optional): A textual prompt to guide the description. This can be left empty if no specific prompt is needed.

Example Input:

{
  "imageUri": "https://replicate.delivery/pbxt/LYg9UV9q67McivPuwvpQPjClOZ7KqaOHH5F2DgbfCZspIhOQ/input.mp4",
  "descriptionPrompt": "Describe the video in great detail."
}

Expected Output

The output will be a structured and detailed description of the media, providing insights into the content and context of the visual material.

Example Output:

Das Video zeigt die Vorgänge eines Kochprozesses, der auf einem speziellen Geräteabteilung stattfindet. Hier ist eine detaillierte Schritt-für-Schritt-Übersicht der Aktionen in jedem Bild:
1. Erste Szene: Eine Person verwendet eine Gabel, um eine Menge gebratenes Gemüse aus einem großen, quadratischen Metallpfanne in einen weiteren Behälter zu tragen.
...

Use Cases for this Specific Action

This action is particularly useful in scenarios where detailed media descriptions are needed, such as:

  • E-commerce: Automatically generating product descriptions for images, helping customers make informed decisions.
  • Social Media: Enhancing engagement by providing context-rich captions for video content.
  • Education: Creating accessible content for videos, ensuring that all viewers, including those with disabilities, can understand the material presented.
import requests
import json

# Replace with your actual Cognitive Actions API key and endpoint
# Ensure your environment securely handles the API key
COGNITIVE_ACTIONS_API_KEY = "YOUR_COGNITIVE_ACTIONS_API_KEY"
# This endpoint URL is hypothetical and should be documented for users
COGNITIVE_ACTIONS_EXECUTE_URL = "https://api.cognitiveactions.com/actions/execute"

action_id = "7e38513a-da61-4b44-8189-2b9938fe1340" # Action ID for: Generate Media Description

# Construct the exact input payload based on the action's requirements
# This example uses the predefined example_input for this action:
payload = {
  "imageUri": "https://replicate.delivery/pbxt/LYg9UV9q67McivPuwvpQPjClOZ7KqaOHH5F2DgbfCZspIhOQ/input.mp4",
  "descriptionPrompt": "Describe the video in great detail."
}

headers = {
    "Authorization": f"Bearer {COGNITIVE_ACTIONS_API_KEY}",
    "Content-Type": "application/json",
    # Add any other required headers for the Cognitive Actions API
}

# Prepare the request body for the hypothetical execution endpoint
request_body = {
    "action_id": action_id,
    "inputs": payload
}

print(f"--- Calling Cognitive Action: {action.name or action_id} ---")
print(f"Endpoint: {COGNITIVE_ACTIONS_EXECUTE_URL}")
print(f"Action ID: {action_id}")
print("Payload being sent:")
print(json.dumps(request_body, indent=2))
print("------------------------------------------------")

try:
    response = requests.post(
        COGNITIVE_ACTIONS_EXECUTE_URL,
        headers=headers,
        json=request_body
    )
    response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx)

    result = response.json()
    print("Action executed successfully. Result:")
    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 (non-JSON): {e.response.text}")
    print("------------------------------------------------")

Conclusion

Minicpm V 26's "Generate Media Description" action empowers developers to create rich, informative descriptions for visual content with ease. By automating this process, you can improve user engagement and accessibility across various applications. As you explore the potential of this action, consider how it can enhance your projects and streamline your content creation efforts. Start integrating this functionality today to elevate your media content!

← Back to All Articles