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Run ChatGPT queries through Django shell and model code
$ docker build -t django_llm .
$ docker run -it django_llm
>>>
>>> from llm.models.prompts import Prompt
>>> prompt = Prompt(template = "Give a bombastic and raucous 'Hello, {name}' to the user")
>>> prompt.save()
>>> Prompt.objects.all()
<QuerySet [<Prompt: Prompt object (1)>]>
>>> prompt.template
"Give a bombastic and raucous 'Hello, {name}' to the user"
>>> prompt.variables
['name']
>>>
>>> from llm.models import ModelProviderAPI
>>> openai = ModelProviderAPI(service = 'OpenAI', api_key = '<<<YOUR OPENAI API KEY>>>')
>>> openai.save()
>>> openai.service
'OpenAI'
>>>
>>> from llm.models.queries import OpenAIChatQuery
>>> query = OpenAIChatQuery(prompt = prompt, api = openai)
>>> query.do_query(name="World")
"HELLO WORLD! WELCOME TO THE MIGHTY REALM OF TECHNOLOGY AND INNOVATION! PREPARE TO BE ASTOUNDED AND DAZZLED BY THE POWER OF CODE AND THE ENDLESS POSSIBILITIES OF THE DIGITAL AGE! LET'S ROCK AND ROLL!"
>>>
More
Model to configure and execute ChatGPT query
Model to hold prompt and determine prompt variables
Model to store API keys for various services
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A reusable django app for large language model workflows