How To Use GPT-4 Vision API?

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Journey into the future of AI with OpenAI’s groundbreaking GPT-4 Vision API! GPT-4 Vision, also known as GPT-4V, reveals a combination of language skills and visual intelligence and will redefine the way we interact with images and text. Imagine the possibilities: from generating creative text formats from images to breaking down language barriers with multi-language translations. Join us as we delve into the key features, usage guide, and the exciting applications that make GPT-4 Vision a game-changer in the world of artificial intelligence. Ready to explore the invisible? Let’s dive in!

What is the GPT-4 Vision API?

GPT-4 Vision, also known as GPT-4V or gpt-4-vision-preview in the API, is a breakthrough multimodal AI model from OpenAI that combines the powerful language processing capabilities of GPT-4 with the ability to extract visual information. It allows developers and creative professionals to explore a wide range of applications, from generating creative text formats from images to translating languages ​​from images.

Key features of the GPT-4 Vision API:

  • Multimodal processing: GPT-4 Vision can handle both text and image input, allowing you to have interactive conversations over images and use the model’s knowledge base to generate creative text formats from visual content.
  • Image analysis and understanding: GPT-4 Vision can analyze and understand the content of images, provide descriptions, identify objects and even interpret scenes. This capability opens up possibilities for image classification, object detection, and visual content moderation.
  • Creative text generation: GPT-4 Vision can generate creative text formats from images, including poems, code, scripts, pieces of music, emails, letters and more. This feature allows writers, artists and designers to explore new creative possibilities.
  • Multilingual translation: GPT-4 Vision can translate text from images, break down language barriers and facilitate communication between different cultures and languages.

Also read: How do I access GPT-4 Turbo in Azure?

How do I use the GPT-4 Vision API?

Follow these steps to use the GPT-4 Vision API:

  1. Sign up for an OpenAI account: Create an account on the OpenAI website to access their APIs and tools.
  2. Get access to GPT-4: If you don’t have access to GPT-4 yet, you’ll need to request it through the OpenAI waitlist.
  3. Understand the limitations: Before diving in, you should familiarize yourself with the limitations of GPT-4 Vision, such as handling medical images and non-Latin text.
  4. Prepare your image: Resize your image to an appropriate size (approximately 512×512 pixels) and make sure it is in a supported format (JPEG, PNG or GIF).
  5. Choose the correct API endpoint: Depending on your task, you use the Chat Completions API or the Embeddings API. The Chat Completions API is suitable for tasks such as generating text from images or answering questions about images, while the Embeddings API is used for tasks such as image classification or object detection.
  6. Make your request: State your request clearly and concisely and provide relevant context and instructions to guide GPT-4 Vision’s processing of the image.
  7. Send your request: Use the appropriate HTTP method (POST or GET) to send your request, along with the image data and any additional parameters, to the chosen API endpoint.
  8. Get the answer: GPT-4 Vision processes your request and returns a response, usually in JSON format. The response may include text descriptions, answers to questions, or other relevant information based on the image and your request.

Once you have access to the GPT-4 Vision API, you can use it to perform a variety of tasks, including:

  • Answer questions about images: The GPT-4 Vision API can answer questions about images, such as “What is in this photo?” or “How many people are in this picture?”
  • Generate text descriptions of images: The GPT-4 Vision API can generate text descriptions of images, which can be useful for tasks such as captioning images and searching for images.
  • Create visual content: The GPT-4 Vision API can be used to create visual content such as images and videos

Here’s an example of how you can use GPT-4 Vision with the Chat Completions API to generate a text description of an image:

Python

import requests

# Replace with your OpenAI API key
api_key = "YOUR_API_KEY"

image_url = "https://example.com/image.jpg"

request_body = 
    "prompt": "Describe the image",
    "choices": [
        "text": image_url
    ]


headers = 
    "Authorization": f"Bearer api_key"


response = requests.post("https://api.openai.com/v1/engines/davinci-instruct/completions", json=request_body, headers=headers)

response_json = response.json()

print(response_json["choices"][0]["text"])

Please note that GPT-4 Vision is still in development, so its capabilities and limitations may evolve over time.

Also read: How do you get access to GPT-4 now?

Examples of using the GPT-4 Vision API:

  • To answer a question about an image:
import openai

openai.api_key = "YOUR_API_KEY"

prompt = "What is in this photo?"
image_url = "https://example.com/image.jpg"

response = openai.Completion.create(
    prompt=prompt,
    image_prompt=[image_url],
)

print(response.choices[0].text)
  • To generate a text description of an image:
import openai

openai.api_key = "YOUR_API_KEY"

prompt = "Describe this image."
image_url = "https://example.com/image.jpg"

response = openai.Completion.create(
    prompt=prompt,
    image_prompt=[image_url],
)

print(response.choices[0].text)
  • To create an image from a text description:
import openai

openai.api_key = "YOUR_API_KEY"

prompt = "Create an image of a cat sitting on a couch."

response = openai.Image.create(
    prompt=prompt,
)

print(response.url)

The GPT-4 Vision API is a powerful tool that can be used to perform a variety of tasks. As the API continues to evolve, we can expect even more innovative and creative applications for it.

Applications of GPT-4 Vision API:

  • Generate image-to-text: Generate descriptions, stories or creative text formats from images.
  • Image captions: Create accurate and compelling image captions, improving accessibility and storytelling.
  • Image-based question answering: Answer questions about images and provide insights and understanding of visual content.
  • Image to code generation: Translate image designs or sketches into functional code for websites or applications.
  • Image-based translation: Translate text embedded in images, enabling communication and understanding in multiple languages.
  • Image classification and object detection: Categorize images based on their content and identify objects or scenes in images.
  • Visual content moderation: Detect and flag inappropriate or offensive content in images and promote safe and respectful online environments.

also read: Meta is building a new AI model to compete with OpenAI’s GPT-4

Conclusion:

GPT-4 Vision is a powerful and versatile AI tool with the potential to revolutionize the way we interact with and understand visual information. As the model continues to develop, we can expect even more innovative applications and improvements in its capabilities.

🌟 Do you have burning questions about the GPT-4 Vision API? Do you need some extra help with AI tools or something else?

💡 Feel free to send an email to Arva, our expert at OpenAIMaster. Send your questions to support@openaimaster.com and Arva will be happy to help you!

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