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app.py
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import openai
import os
import requests
from PIL import Image
import dotenv
# import dotenv
dotenv.load_dotenv()
# Get endpoint and key from environment variables
openai.api_base = os.environ['AZURE_OPENAI_ENDPOINT']
openai.api_key = os.environ['AZURE_OPENAI_KEY']
# Assign the API version (DALL-E is currently supported for the 2023-06-01-preview API version only)
openai.api_version = '2023-06-01-preview'
openai.api_type = 'azure'
try:
# Create an image by using the image generation API
generation_response = openai.Image.create(
prompt='Bunny on horse, holding a lollipop, on a foggy meadow where it grows daffodils', # Enter your prompt text here
size='1024x1024',
n=2,
temperature=0,
)
# Set the directory for the stored image
image_dir = os.path.join(os.curdir, 'images')
# If the directory doesn't exist, create it
if not os.path.isdir(image_dir):
os.mkdir(image_dir)
# Initialize the image path (note the filetype should be png)
image_path = os.path.join(image_dir, 'generated_image.png')
# Retrieve the generated image
image_url = generation_response["data"][0]["url"] # extract image URL from response
generated_image = requests.get(image_url).content # download the image
with open(image_path, "wb") as image_file:
image_file.write(generated_image)
# Display the image in the default image viewer
image = Image.open(image_path)
image.show()
# catch exceptions
except openai.error.InvalidRequestError as err:
print(err)
# ---creating variation below---
response = openai.Image.create_variation(
image=open(image_path, "rb"),
n=1,
size="1024x1024"
)
image_path = os.path.join(image_dir, 'generated_variation.png')
image_url = response['data'][0]['url']
generated_image = requests.get(image_url).content # download the image
with open(image_path, "wb") as image_file:
image_file.write(generated_image)
# Display the image in the default image viewer
image = Image.open(image_path)
image.show()