from flask import url_for
from diffusers import StableDiffusionPipeline
import torch
from fastapi import FastAPI, Response  
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, torch_dtype=torch.float16)
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 Linlada"


@app.get("/gen/{prompt}")
def generate_image(prompt: str):
    image = pipe(prompt,
                  guidance_scale=8.5  # how strict to follow the prompt
                  ).images[0]
    # Save the image
    image.save('static/image.png')

    # do something with the generated image
    image_data = image.tobytes().hex()
    image_url = url_for('static', filename='image.png')

    return {'image_data': image_data, 'image_url': image_url}