fix progress response model

# import time

# from modules.api.models import StableDiffusionTxt2ImgProcessingAPI, StableDiffusionImg2ImgProcessingAPI

# from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images

# from modules.sd_samplers import all_samplers

# from modules.extras import run_pnginfo

# import modules.shared as shared

# from modules import devices

# import uvicorn

# from fastapi import Body, APIRouter, HTTPException

# from fastapi.responses import JSONResponse

# from pydantic import BaseModel, Field, Json

# from typing import List

# import json

# import io

# import base64

# from PIL import Image

# sampler_to_index = lambda name: next(filter(lambda row: name.lower() == row[1].name.lower(), enumerate(all_samplers)), None)

# class TextToImageResponse(BaseModel):

#     images: List[str] = Field(default=None, title="Image", description="The generated image in base64 format.")

#     parameters: Json

#     info: Json

# class ImageToImageResponse(BaseModel):

#     images: List[str] = Field(default=None, title="Image", description="The generated image in base64 format.")

#     parameters: Json

#     info: Json

import time

import uvicorn

from gradio.processing_utils import encode_pil_to_base64, decode_base64_to_file, decode_base64_to_image

import inspect

from click import prompt

from pydantic import BaseModel, Field, create_model

from pydantic import BaseModel, Field, Json, create_model

from typing import Any, Optional

from typing_extensions import Literal

from inflection import underscore

    info: str = Field(title="Image info", description="A string with all the info the image had")

class ProgressResponse(BaseModel):

    progress: float

    eta_relative: float

    state: dict

    progress: float = Field(title="Progress", description="The progress with a range of 0 to 1")

    eta_relative: float = Field(title="ETA in secs")

    state: Json