how to do a function calling to a function like this
def generate_dalle_image(prompt):
response = openai.images.generate(
model="dall-e-3",
prompt=prompt,
size="1024x1024",
quality="standard",
n=1,
)
image_url = response.data[0].url
return jsonify({"image":image_url})
using flask
#function calling implementation
slow lion
pearl palmBOT
Hi @slow lion. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:
To call the generate_dalle_image function in a Flask application, you can define a route that accepts a POST request with the prompt as part of the request data. Here's an example of how you can do this:
from flask import Flask, request, jsonify
import openai
app = Flask(__name__)
def generate_dalle_image(prompt):
response = openai.Image.create(
model="dall-e-3",
prompt=prompt,
size="1024x1024",
quality="standard",
n=1,
)
image_url = response['data'][0]['url']
return jsonify({"image":image_url})
@app.route('/generate', methods=['POST'])
def generate():
data = request.get_json()
prompt = data['prompt']
return generate_dalle_image(prompt)
if __name__ == '__main__':
app.run(debug=True)
In this example, the /generate route accepts a POST request with a JSON body containing the prompt. It retrieves the prompt from the request data, calls the generate_dalle_image function with the prompt, and returns the result.
You can then call this endpoint from a client (like a web browser or a tool like curl) with a POST request. The body of the request should be a JSON object with a prompt field.
Please note that you need to replace "dall-e-3" with the actual model name you want to use, and "standard" with the actual quality you want to use. The model and quality parameters depend on the specific capabilities of the OpenAI API at the time of use.
Sources:
- Github Issue (https://github.com/openai/openai-python/issues/1184)
- OpenAI Cookbook (https://cookbook.openai.com/examples/dalle/image_generations_edits_and_variations_with_dall-e#generations)