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import os
import random
import string
from django.apps import AppConfig
from django.conf import settings
from jinja2 import Environment, FileSystemLoader
import openai
class AppNameConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'app_name'
def ready(self):
# import models, functions, and libraries here
from . import models, functions, libraries
# idea-to-app logic
if settings.IDEA_TO_APP:
# generate a unique name for the new model
model_name = ''.join(random.choices(string.ascii_lowercase + string.digits, k=10))
# merge the selected models and functions here
# and save it as a new GGuf model
gguf_model = functions.merge_models(models.CodeModel, models.ImageModel, 'function1', 'function3')
# save the GGuf model under the unique name
gguf_model.save(model_name)
# return the merged model for preview/demo
settings.IDEA_TO_APP_PREVIEW = gguf_model
from django.db import models
class CodeModel(models.Model):
name = models.CharField(max_length=100)
code = models.TextField()
class ImageModel(models.Model):
name = models.CharField(max_length=100)
image = models.ImageField(upload_to='images/')
def merge_models(model1, model2, function1, function3):
# merge the selected models and functions here
model1_objects = model1.objects.all()
model2_objects = model2.objects.all()
merged_objects = []
for obj1 in model1_objects:
obj2 = model2_objects.filter(name=obj1.name).first()
if obj2:
merged_obj = {
'name': obj1.name,
'code': function1(obj1.code),
'image': function3(obj2.image),
}
merged_objects.append(merged_obj)
return merged_objects
import openai
import jinja2
def function1(code):
# translate natural language to executable code here
# using the OpenAI API
openai.api_key = 'YOUR_OPENAI_API_KEY'
response = openai.Completion.create(
engine='code-davinci-002',
prompt=f'Translate this Python code to executable code: {code}'\ |