OpenAI vision with URL images in Python
Discover how to use OpenAI API to create chat completions with text and images given from URL in Python. This notebook covers creating API request with user message and URL image and printing the response.
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# import packages
import os
from dotenv import load_dotenv
from openai import OpenAI, AuthenticationError
Create the OpenAI client connection:
# load .env file
load_dotenv()
# get api key from environment
api_key = os.environ["OPENAI_KEY"]
# create OpenAI client
def create_client(api_key):
try:
client = OpenAI(api_key=api_key)
client.models.list()
return client
except AuthenticationError:
print("Incorrect API")
return None
client = create_client(api_key)
In this example, we will send the below image to the OpenAI model and ask a question about it.
The image is from one of our articles. If you are interested, here is a link: How to create Dashboard in Python from PostgreSQL
# create api request
response = client.chat.completions.create(
model="gpt-4o",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What is in the image?"},
{
"type": "image_url",
"image_url": {"url": "https://mljar.com/blog/postgresql-dashboard-python/banner.jpg"}
}
]
}
],
max_tokens=300
)
# print response
print(response.choices[0].message.content)
Conclusions
As you can see, chatting with the OpenAI model has much more options than you think. Follow us to see more of them.
Recipes used in the openai-vision-url-image.ipynb
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Packages used in the openai-vision-url-image.ipynb
List of packages that need to be installed in your Python environment to run this notebook. Please note that MLJAR Studio automatically installs and imports required modules for you.
openai>=1.35.14
python-dotenv>=1.0.1
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