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()