import gradio as gr
import requests
import os

name = "runwayml/stable-diffusion-v1-5"
model = gr.Interface.load(f"models/{name}")
o = os.getenv("P")
h = "Q"
def ac():
    def im_fn(put):
        if h == o:
            return model(put, negative_prompt="blury")
        elif h != o:
            return(None)
    with gr.Blocks() as b:
        put = gr.Textbox()
        out = gr.Image()
        btn = gr.Button()
        btn.click(im_fn,put,out)
    b.queue(concurrency_count=100).launch()
ac()