Here’s How You Can Use GPT 4o API for Vision, Text, Image & More.

Introduction

After building up so much hype around search engines, OpenAI released ChatGPT-4o, an upgraded iteration of the widely acclaimed ChatGPT-4 model that underpins its flagship product, ChatGPT. This refined version promises significant improvements in speed and performance, delivering enhanced capabilities across text, vision, and audio processing.

This innovative model will be accessible across various ChatGPT plans, including Free, Plus, and Team, and will be integrated into multiple APIs such as Chat Completions, Assistants, and Batch. If you want to access GPT 4o API for generating and processing Vision, Text, and more, this article is for you. In this article we are majorly covering abou the Gpt-4o API and how to use gpt4o vision API with that about the chatgpt 4o API.

So the article is about the concept of GPT4o API.

What is GPT-4o?

GPT-4o is OpenAI’s latest and greatest AI model. This isn’t just another step in AI chatbots; it’s a leap forward with a groundbreaking feature called multimodal capabilities.

Here’s what that means: Traditionally, language models like previous versions of GPT have focused on understanding and responding to text. GPT-4o breaks the mold by being truly multimodal. It can seamlessly process information from different formats, including:

• Text: This remains a core strength, allowing GPT-4o to converse, answer your questions, and generate creative text formats like poems or code.
• Audio: Imagine playing GPT-4o a song and having it analyze the music, describe the emotions it evokes, or even write lyrics inspired by it! GPT-4o can understand the spoken word, including tone and potentially background noise.
• Vision: Show GPT-4o a picture, and it can analyze the content, describe the scene, or even tell you a story based on the image. This opens doors for applications like image classification or generating captions for videos.

This multimodal ability allows GPT-4o to understand the world much more clearly. It can grasp the nuances of communication beyond just the literal meaning of words. Here’s a breakdown of the benefits:

• More Natural Conversations: By understanding tone in audio and image context, GPT-4o can have more natural and engaging conversations. It can pick up on the subtleties of human communication.
• Enhanced Information Processing: Imagine analyzing data sets that include text, audio recordings, and images. GPT-4o can pull insights from all these formats, leading to a more comprehensive understanding of the information.
• New Applications: The possibilities are vast! GPT-4o could be used to create AI assistants that better understand your needs, develop educational tools that combine text and multimedia elements, or even push the boundaries of artistic expression by generating creative content based on different inputs.

GPT-4o’s multimodal capabilities represent a significant leap forward in AI development. They open doors for a future where AI can interact with the world and understand information in a way that is closer to how humans do.

What can GPT-4o API do?

GPT-4o’s API unlocks its potential for various tasks, making it a powerful tool for developers and users alike. Here’s a breakdown of its capabilities:

• Chat Completions: Have natural conversations with GPT-4o, similar to a chatbot. Ask questions, provide prompts for creative writing, or simply chat about anything that interests you.
• Image and Video Understanding: Analyze visual content! Provide images or video frames and get descriptions, summaries, or insights. Imagine showing GPT-4o a vacation photo and generating a story based on the scenery.
• Audio Processing: Explore the world of sound with GPT-4o. Play it as an audio clip and get a transcription, sentiment analysis, or even creative content inspired by the music.
• Text Generation: GPT-4o can still handle classic text-based functionalities. Need a poem, a script, or an informative response to your question? GPT-4o can generate different creative text formats based on your prompts.
• Code Completion: Are you stuck on a coding problem? GPT-4o might be able to assist with code completion, helping you write more efficient code.
• JSON mode and Function Calls: For experienced developers, these features allow for more programmatic interaction with GPT-4o. Structure your requests and responses more precisely to achieve complex tasks.

Also read: GPT-4o vs Gemini: Comparing Two Powerful Multimodal AI Models

How to Use the GPT-4o API for Vision and Text?

While GPT-4o is a new model, and the API might still be evolving, here’s a general idea of how you might interact with it:

Access and Authentication:

• OpenAI Account: You’ll likely need an OpenAI account to access the API. This might involve signing up for a free account or using a paid tier if different access levels exist.
• API Key: Once you have an account, obtain your API key. This key authenticates your requests to the GPT-4o API.

Installing necessary library

pip install openai

Importing openai library and Authentication

import openai
openai.api_key  = "<Your API KEY>"

For Chat Completion

Code:

response = openai.chat.completions.create(
  model="gpt-4o",
  messages=[
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Who won the world series in 2020?"},
    {"role": "assistant", "content": "The Los Angeles Dodgers won the World Series in 2020."},
    {"role": "user", "content": "Where was it played?"}
  ]
)

Output:

print(response.choices[0].message.content)

For Image Processing

Code:

response = openai.chat.completions.create(
  model="gpt-4o",
  messages=[
    {
      "role": "user",
      "content": [
        {"type": "text", "text": "What’s in this image?"},
        {
          "type": "image_url",
          "image_url": {
            "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
          },
        },
      ],
    }
  ],
  max_tokens=300,
)

Output:

print(response.choices[0])

Also read: The Omniscient GPT-4o + ChatGPT is HERE!

For Video Processing

Import Necessary Libraries:

from IPython.display import display, Image, Audio

import cv2  # We're using OpenCV to read video, to install !pip install opencv-python
import base64
import time
from openai import OpenAI
import os
import requests

client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY", "<your OpenAI API key if not set as env var>"))

Using GPT’s visual capabilities to get a description of a video

video = cv2.VideoCapture("<Your Viedeo Address>")

base64Frames = []
while video.isOpened():
    success, frame = video.read()
    if not success:
        break
    _, buffer = cv2.imencode(".jpg", frame)
    base64Frames.append(base64.b64encode(buffer).decode("utf-8"))

video.release()
print(len(base64Frames), "frames read.")

display_handle = display(None, display_id=True)
for img in base64Frames:
    display_handle.update(Image(data=base64.b64decode(img.encode("utf-8"))))
    time.sleep(0.025)

Provide Prompt:

PROMPT_MESSAGES = [
    {
        "role": "user",
        "content": [
            "These are frames from a video that I want to upload. Generate a compelling description that I can upload along with the video.",
            *map(lambda x: {"image": x, "resize": 768}, base64Frames[0::50]),
        ],
    },
]
params = {
    "model": "gpt-4o",
    "messages": PROMPT_MESSAGES,
    "max_tokens": 200,
}

Output:

result = client.chat.completions.create(**params)
print(result.choices[0].message.content)

For Audio Processing

Code:

from openai import OpenAI
client = OpenAI()

audio_file= open("/path/to/file/audio.mp3", "rb")
transcription = client.audio.transcriptions.create(
  model="whisper-1", 
  file=audio_file
)

Output:

print(transcription.text)

For Image Generation

Code:

from openai import OpenAI
client = OpenAI()

response = client.images.generate(
  model="dall-e-3",
  prompt="a man with big moustache and wearing long hat",
  size="1024x1024",
  quality="standard",
  n=1,
)

image_url = response.data[0].url

Output:

For Audio Generation

Code:

from pathlib import Path
from openai import OpenAI
client = OpenAI()

speech_file_path = Path(__file__).parent / "speech.mp3"
response = client.audio.speech.create(
  model="tts-1",
  voice="alloy",
  input="Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from potentially noisy, structured, or unstructured data."
)

response.stream_to_file(speech_file_path)

Output:

Benefits and Applications of GPT-4o API

GPT-4o API unlocks a powerful AI for everyone. Here’s the gist:

• Do more in less time: Automate tasks, analyze data faster and generate creative content on demand.
• Personalized experiences: Chatbots that understand you, educational tools that adapt, and more.
• Break communication barriers: Translate languages in real time and describe images for visually impaired users.
• Fuel AI innovation: Researchers can explore new frontiers in AI with GPT-4o’s capabilities.
• The future is open: Expect new and exciting applications of GPT-4o to emerge across various fields.

Also read: What Can You Do With GPT-4o? | Demo

GPT-4o API Pricing

GPT-4o, offered by OpenAI, has a tiered pricing structure based on the type of token processed:

• Input Text: $5 per 1 million tokens
• Output Text: $15 per 1 million tokens

There’s also a separate cost for image generation based on the image resolution. You can find a pricing calculator on the OpenAI website here

Conclusion

In a nutshell, GPT-4o is a game-changer in AI, boasting multimodal abilities that let it understand text, audio, and visuals. Its API opens doors for developers and users, from crafting natural conversations to analyzing multimedia content. With GPT-4o, tasks are automated, experiences are personalized, and communication barriers are shattered. Prepare for a future where AI drives innovation and transforms how we interact with technology!

Hope you like the article about the concept of gpt 4o API and how to use gpt-4o API , how it vary in the concept of chatgpt 4o API and what is the vision for gpt4o vision API . We have covered these topics in the article partically so that you can know how to use it.

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Aayush Tyagi

Data Analyst with over 2 years of experience in leveraging data insights to drive informed decisions. Passionate about solving complex problems and exploring new trends in analytics. When not diving deep into data, I enjoy playing chess, singing, and writing shayari.