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import gradio as gr
import diff
import os
from PIL import Image
import uuid
import random
sky = "https://huggingface.co/spaces/Omnibus/game-test/resolve/main/assets/sky.png"
platform = 'https://huggingface.co/spaces/Omnibus/game-test/resolve/main/assets/platform.png'
star = 'https://huggingface.co/spaces/Omnibus/game-test/resolve/main/assets/star.png'
bomb = 'https://huggingface.co/spaces/Omnibus/game-test/resolve/main/assets/bomb.png'
dude = 'https://huggingface.co/spaces/Omnibus/game-test/resolve/main/assets/dude.png'
def game_fn(sky=sky,platform=platform,star=star,bomb=bomb,dude=dude):
html_mod=f"""
<div id="demo" style="height:600px">
<iframe
id="myIframe"
src="https://omnibus-game-test-static.static.hf.space/index.html?sky={sky}&platform={platform}&star={star}&bomb={bomb}&dude={dude}"
frameborder="0"
width="100%"
height="100%"
></iframe>
</div>"""
return html_mod
def update_game(inp):
return game_fn(sky=sky)
def dif_fn(inp):
rand = random.randint(1,200)
for i in rand:
inp+=" "
#dif = gr.Interface.load("models/stabilityai/stable-diffusion-2-1-base", live=True),
#dif = models[0]
uid=uuid.uuid4()
output=diff.send_it(inp,5,1)
#output=dif(inp)
print(output)
outp=Image.open(output[0])
width, height = outp.size
rat = width/height
if width > height:
outp = outp.resize((600*rat,600))
elif width < height:
outp = outp.resize((800,800*rat))
else:
outp = outp.resize((800,536))
outp.save(f"{uid}_sky.png")
out = os.path.abspath(f"{uid}_sky.png")
#out = os.path.abspath(outp)
out_url = f'https://omnibus-game-test.hf.space/file={out}'
return output[0],out_url
with gr.Blocks() as app:
with gr.Row():
with gr.Column():
prompt=gr.Textbox()
with gr.Row():
btn=gr.Button("Make Image")
update_game=gr.Button("Use Image")
out_im=gr.Image(type='filepath')
out_url=gr.Textbox(visible=False)
start_prompt=gr.Textbox(value="A beautiful landscape",visible=False)
html_game = gr.HTML()
update_game.click(game_fn,[out_url],html_game)
btn.click(dif_fn,prompt,[out_im,out_url])
app.load(dif_fn,start_prompt,[out_im,out_url]).then(game_fn,[out_url],html_game)
app.launch() |