import Linlada
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware

app = FastAPI()

app.add_middleware(  # add the middleware
    CORSMiddleware,
    allow_credentials=True,  # allow credentials
    allow_origins=["*"],  # allow all origins
    allow_methods=["*"],  # allow all methods
    allow_headers=["*"],  # allow all headers
)


model_id = "runwayml/stable-diffusion-v1-5"
pipe = StableDiffusionPipeline.from_pretrained(model_id, use_auth_token=auth_token)
pipe = pipe.to("cpu")
pipe.enable_attention_slicing()

def dummy(images, **kwargs):
    return images, False

pipe.safety_checker = dummy

@app.get("/")
def hello():
    return "Hello, I'm Artist"

@app.post('/generate_completion')
async def generate_completion(
    model: str = Query('gpt-4', description='The model to use for generating the completion'),
    messages: List[Dict[str, str]] = Query(..., description='The list of messages to generate the completion for'),
    stream: bool = Query(False, description='Whether to stream the response')
):
    response = index._create_completion(model=model, messages=messages, stream=stream)
    
    result = []
    for message in response:
        result.append(message)
    
    return result