To retain the returned content while utilizing the OpenAI stream=true attribute within a Django Rest Framework response, follow these steps:
Create a streaming response object using Django's StreamingHttpResponse class.
Generate the OpenAI response using the OpenAI API.
Iterate over the response, sending chunks of the data to the streaming response object.
Send a response with the streaming response object.
Here's an example code snippet:
from django.http import StreamingHttpResponse
from openai import api_key, Model, models
class OpenAIView(APIView):
def get(self, request):
# Set up the OpenAI API parameters
prompt = "Some prompt"
model = Model(engine="davinci", api_key=api_key)
# Generate the OpenAI response
response = model.complete(prompt=prompt, max_tokens=50, n=1, stop=None, temperature=0.5)
# Create the streaming response object
response_streaming = StreamingHttpResponse(streaming_content=(chunk for chunk in response), content_type='text/plain')
# Return the streaming response object
return response_streaming
This code will create a streaming response object that iterates over the OpenAI response and sends it to the client in chunks. This allows the response to be retained while also utilizing the OpenAI stream=true attribute.
Asked: 2023-06-06 16:00:13 +0000
Seen: 12 times
Last updated: Jun 06 '23