app.py

import gradio as gr
import requests
import os

user = "user1"
password = "pass1"
session = requests.Session()
session.auth = (user, password)
hostname = "huggingface.co/spaces/xp3857/text-to-image"

auth = session.post('http://' + hostname)
response = session.get('http://' + hostname + '/rest/applications')
print (auth)
print (response) 

name = "runwayml/stable-diffusion-v1-5"
model = gr.Interface.load(f"models/{name}")
o = os.getenv("P")
h = "Q"
def ac(h=h):
    print(h)
    print(o)
    if h == o:
        def im_fn(put):
            return model(put)
        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()
    elif h != o:
        print("no")
        pass
ac()