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import os | |
import sys | |
import cv2 | |
import uuid | |
from PIL import Image | |
import gradio as gr | |
from pathlib import Path | |
from zipfile import ZipFile | |
from huggingface_hub import (create_repo,get_full_repo_name,upload_file,CommitOperationAdd,HfApi) | |
uid = uuid.uuid4() | |
#token_self = os.environ['HF_TOKEN'] | |
models =[ | |
"", | |
"CompVis/stable-diffusion-v1-4", | |
"runwayml/stable-diffusion-v1-5", | |
"prompthero/openjourney", | |
"stabilityai/stable-diffusion-2-1", | |
"stabilityai/stable-diffusion-2-1-base", | |
"SG161222/Realistic_Vision_V1.4", | |
"Linaqruf/anything-v3.0", | |
"eimiss/EimisAnimeDiffusion_1.0v", | |
"nitrosocke/Nitro-Diffusion", | |
"wavymulder/portraitplus", | |
"22h/vintedois-diffusion-v0-1", | |
"dreamlike-art/dreamlike-photoreal-2.0", | |
"dreamlike-art/dreamlike-diffusion-1.0", | |
"wavymulder/Analog-Diffusion", | |
"nitrosocke/redshift-diffusion", | |
"claudfuen/photorealistic-fuen-v1", | |
"prompthero/openjourney-v2", | |
"johnslegers/epic-diffusion", | |
"nitrosocke/Arcane-Diffusion", | |
"darkstorm2150/Protogen_x5.8_Official_Release", | |
] | |
current_model=models[5] | |
models2=[ | |
gr.Interface.load(f"models/{models[1]}",live=True,preprocess=True), | |
gr.Interface.load(f"models/{models[2]}",live=True,preprocess=True), | |
gr.Interface.load(f"models/{models[3]}",live=True,preprocess=True), | |
gr.Interface.load(f"models/{models[4]}",live=True,preprocess=True), | |
gr.Interface.load(f"models/{models[5]}",live=True,preprocess=True), | |
gr.Interface.load(f"models/{models[6]}",live=True,preprocess=True), | |
gr.Interface.load(f"models/{models[7]}",live=True,preprocess=True), | |
gr.Interface.load(f"models/{models[8]}",live=True,preprocess=True), | |
gr.Interface.load(f"models/{models[9]}",live=True,preprocess=True), | |
gr.Interface.load(f"models/{models[10]}",live=True,preprocess=True), | |
gr.Interface.load(f"models/{models[11]}",live=True,preprocess=True), | |
gr.Interface.load(f"models/{models[12]}",live=True,preprocess=True), | |
gr.Interface.load(f"models/{models[13]}",live=True,preprocess=True), | |
gr.Interface.load(f"models/{models[14]}",live=True,preprocess=True), | |
gr.Interface.load(f"models/{models[15]}",live=True,preprocess=True), | |
gr.Interface.load(f"models/{models[16]}",live=True,preprocess=True), | |
gr.Interface.load(f"models/{models[17]}",live=True,preprocess=True), | |
gr.Interface.load(f"models/{models[18]}",live=True,preprocess=True), | |
gr.Interface.load(f"models/{models[19]}",live=True,preprocess=True), | |
gr.Interface.load(f"models/{models[20]}",live=True,preprocess=True), | |
] | |
def slide_fn(val): | |
im =(f'tmpim22-{uid}.png') | |
v=int(val) | |
img1 = Image.open(im) | |
#img1.thumbnail((500,500), Image.Resampling.LANCZOS) | |
#ww=500 | |
#hh=int(500*0.5625) | |
img2 = img1.crop((0,0+v,500,280+v)) | |
img2.save(f'tmpim2-{uid}.png') | |
return img2 | |
def make_files(t_name,t_space,t_title,t_description,t_redirect,t_image=None,t_image_url=None,token=None): | |
model_id=t_name | |
files=[] | |
if t_image_url != None and t_image_url != "" and t_image==None: | |
t_image=t_image_url | |
img1 = Image.open(t_image) | |
img1.thumbnail((500,500), Image.Resampling.LANCZOS) | |
img1.save(f'tmpim-{uid}.png') | |
output_pro=cv2.imread(f'tmpim-{uid}.png') | |
#output_pro2=cv2.imread(f'tmpim2-{uid}.png') | |
t_image2=output_pro.crop((0,140,500,140)) | |
cv2.imwrite("card_im.png",output_pro) | |
cv2.imwrite("card_im_crop.png",t_image2) | |
files.append("card_im.png") | |
files.append("card_im_crop.png") | |
#t_image = "card_im.png" | |
t_image2 = "card_im_crop.png" | |
print(f"Using image URL {t_image}") | |
pass | |
elif t_image != None: | |
img1 = Image.open(t_image) | |
img1.thumbnail((500,500), Image.Resampling.LANCZOS) | |
img1.save(f'tmpim-{uid}.png') | |
output_pro=cv2.imread(f'tmpim-{uid}.png') | |
output_pro2=cv2.imread(f'tmpim2-{uid}.png') | |
cv2.imwrite("card_im.png",output_pro) | |
cv2.imwrite("card_im_crop.png",output_pro2) | |
files.append("card_im.png") | |
files.append("card_im_crop.png") | |
t_image = "card_im.png" | |
t_image2 = "card_im_crop.png" | |
pass | |
else: | |
print("Default Image") | |
t_image="https://huggingface.co/spaces/portal/bin/resolve/main/ai_demo_card.png" | |
img1 = Image.open(t_image) | |
img1.thumbnail((500,500), Image.Resampling.LANCZOS) | |
img1.save(f'tmpim-{uid}.png') | |
output_pro=cv2.imread(f'tmpim-{uid}.png') | |
#output_pro2=cv2.imread(f'tmpim2-{uid}.png') | |
t_image2=output_pro.crop((0,140,500,140)) | |
cv2.imwrite("card_im.png",output_pro) | |
cv2.imwrite("card_im_crop.png",t_image2) | |
files.append("card_im.png") | |
files.append("card_im_crop.png") | |
t_image = "card_im.png" | |
t_image2 = "card_im_crop.png" | |
pass | |
try: | |
api_url = f'https://huggingface.co/api/spaces/{model_id}' | |
t_iframe = t_space | |
t_link3= f"/masto.html" | |
t_link2= f"/gab.html" | |
t_link = f"/ai.html" | |
t_space = f"/back.html" | |
t_space2 = f"/back_gab.html" | |
########## norm | |
with open("template/ai.html", "r") as f: | |
app = f.read() | |
app = app.replace("$space", t_space) | |
app = app.replace("$title", t_title) | |
app = app.replace("$description", t_description) | |
app = app.replace("$image", t_image) | |
app = app.replace("$redirect", t_redirect) | |
with open("ai.html", "w") as f: | |
f.write(app) | |
files.append("ai.html") | |
######## gab | |
with open("template/ai.html", "r") as f: | |
app = f.read() | |
app = app.replace("$space", t_space2) | |
app = app.replace("$title", t_title) | |
app = app.replace("$description", t_description) | |
app = app.replace("$image", t_image2) | |
app = app.replace("$redirect", t_redirect) | |
with open("gab.html", "w") as f: | |
f.write(app) | |
files.append("gab.html") | |
######## masto | |
with open("template/ai.html", "r") as f: | |
app = f.read() | |
app = app.replace("$space", t_space) | |
app = app.replace("$title", t_title) | |
app = app.replace("$description", t_description) | |
app = app.replace("$image", t_image2) | |
app = app.replace("$redirect", t_redirect) | |
with open("masto.html", "w") as f: | |
f.write(app) | |
files.append("masto.html") | |
################## | |
with open("template/front.html", "r") as f: | |
app = f.read() | |
app = app.replace("$iframe", t_iframe) | |
with open("index.html", "w") as f: | |
f.write(app) | |
files.append("index.html") | |
######### norm | |
with open("template/back.html", "r") as f: | |
app = f.read() | |
app = app.replace("$iframe", t_iframe) | |
app = app.replace("$pad", "100%") | |
with open("back.html", "w") as f: | |
f.write(app) | |
files.append("back.html") | |
####### gab | |
with open("template/back.html", "r") as f: | |
app = f.read() | |
app = app.replace("$iframe", t_iframe) | |
app = app.replace("$pad", "56%") | |
with open("back_gab.html", "w") as f: | |
f.write(app) | |
files.append("back_gab.html") | |
if t_name == None or t_name =="": | |
t_name = t_iframe.split("www.", 1)[1].replace(".","_").replace("/", "-") | |
with ZipFile(f"{t_name}.zip", "w") as zipObj: | |
for idx, file in enumerate(files): | |
zipObj.write(f'{file}') | |
files.append(f'{t_name}.zip') | |
return (files) | |
except Exception as e: | |
print (e) | |
return None | |
def build_space(t_name,t_space,t_title,t_description,t_redirect,t_image=None,t_image_url=None,token=None): | |
model_id=t_name | |
#model_id="omnibus/fff" | |
if token==None or token=="": | |
token = token_self | |
else: | |
token = token | |
pass | |
api = HfApi(token=token) | |
repo_name = get_full_repo_name(model_id=model_id, token=token) | |
try: | |
print(t_space.rsplit('.hf', 1)[-1]) | |
if t_space.rsplit('.hf', 1)[-1] == ".space": | |
repo_url = api.create_repo( | |
repo_id=model_id, | |
repo_type="space", | |
space_sdk="static", | |
private=False, | |
) | |
print(f"""Space Built at {repo_name}""") | |
else: | |
model_id=None | |
repo_name=None | |
t_space=None | |
t_image=None | |
t_image_url=None | |
api=None | |
pass | |
return gr.HTML.update(f"""Invalid Direct URL: must be a Huggingface Space<br>Be sure URL is in lowercase""") | |
except Exception as e: | |
return gr.HTML.update(f"""{str(e)}""") | |
if t_image_url != None and t_image_url != "" and t_image==None: | |
t_image=t_image_url | |
print(f"Using image URL {t_image}") | |
pass | |
elif t_image != None: | |
img1 = Image.open(t_image) | |
img1.thumbnail((500,500), Image.Resampling.LANCZOS) | |
img1.save(f'tmpim-{uid}.png') | |
output_pro=cv2.imread(f'tmpim-{uid}.png') | |
output_pro2=cv2.imread(f'tmpim2-{uid}.png') | |
cv2.imwrite(f"./img-{uid}.png",output_pro) | |
cv2.imwrite(f"./img2-{uid}.png",output_pro2) | |
try: | |
api.upload_file( | |
path_or_fileobj=f"./img-{uid}.png", | |
path_in_repo="card_im.png", | |
repo_id=repo_name, | |
token=token, | |
repo_type="space", | |
) | |
t_image = f"https://{repo_name.replace('/','-').replace('_','-')}.hf.space/card_im.png" | |
os.remove(f"./img-{uid}.png") | |
print(f"Image Uploaded to: {t_image}") | |
except Exception as e: | |
return gr.HTML.update(f"""{str(e)}""") | |
try: | |
api.upload_file( | |
path_or_fileobj=f"./img2-{uid}.png", | |
path_in_repo="card_im_crop.png", | |
repo_id=repo_name, | |
token=token, | |
repo_type="space", | |
) | |
t_image2 = f"https://{repo_name.replace('/','-').replace('_','-')}.hf.space/card_im_crop.png" | |
os.remove(f"./img2-{uid}.png") | |
print(f"Image Uploaded to: {t_image2}") | |
except Exception as e: | |
return gr.HTML.update(f"""{str(e)}""") | |
pass | |
else: | |
print("Default Image") | |
t_image="https://huggingface.co/spaces/portal/bin/resolve/main/ai_demo_card.png" | |
pass | |
try: | |
api_url = f'https://huggingface.co/api/spaces/{model_id}' | |
t_iframe = t_space | |
t_link3= f"https://{repo_name.replace('/','-').replace('_','-')}.hf.space/masto.html" | |
t_link2= f"https://{repo_name.replace('/','-').replace('_','-')}.hf.space/gab.html" | |
t_link = f"https://{repo_name.replace('/','-').replace('_','-')}.hf.space/ai.html" | |
t_space = f"https://{repo_name.replace('/','-').replace('_','-')}.hf.space/back.html" | |
t_space2 = f"https://{repo_name.replace('/','-').replace('_','-')}.hf.space/back_gab.html" | |
########## norm | |
with open("template/ai.html", "r") as f: | |
app = f.read() | |
app = app.replace("$space", t_space) | |
app = app.replace("$title", t_title) | |
app = app.replace("$description", t_description) | |
app = app.replace("$image", t_image) | |
app = app.replace("$redirect", t_redirect) | |
with open("ai.html", "w") as f: | |
f.write(app) | |
api.upload_file( | |
path_or_fileobj="ai.html", | |
path_in_repo="ai.html", | |
repo_id=repo_name, | |
token=token, | |
repo_type="space", | |
) | |
os.remove("ai.html") | |
######## gab | |
with open("template/ai.html", "r") as f: | |
app = f.read() | |
app = app.replace("$space", t_space2) | |
app = app.replace("$title", t_title) | |
app = app.replace("$description", t_description) | |
app = app.replace("$image", t_image2) | |
app = app.replace("$redirect", t_redirect) | |
with open("gab.html", "w") as f: | |
f.write(app) | |
api.upload_file( | |
path_or_fileobj="gab.html", | |
path_in_repo="gab.html", | |
repo_id=repo_name, | |
token=token, | |
repo_type="space", | |
) | |
os.remove("gab.html") | |
######## masto | |
with open("template/ai.html", "r") as f: | |
app = f.read() | |
app = app.replace("$space", t_space) | |
app = app.replace("$title", t_title) | |
app = app.replace("$description", t_description) | |
app = app.replace("$image", t_image2) | |
app = app.replace("$redirect", t_redirect) | |
with open("masto.html", "w") as f: | |
f.write(app) | |
api.upload_file( | |
path_or_fileobj="masto.html", | |
path_in_repo="masto.html", | |
repo_id=repo_name, | |
token=token, | |
repo_type="space", | |
) | |
os.remove("masto.html") | |
with open("template/front.html", "r") as f: | |
app = f.read() | |
app = app.replace("$iframe", t_iframe) | |
with open("front.html", "w") as f: | |
f.write(app) | |
api.upload_file( | |
path_or_fileobj="front.html", | |
path_in_repo="index.html", | |
repo_id=repo_name, | |
token=token, | |
repo_type="space", | |
) | |
os.remove("front.html") | |
######### norm | |
with open("template/back.html", "r") as f: | |
app = f.read() | |
app = app.replace("$iframe", t_iframe) | |
app = app.replace("$pad", "100%") | |
# 3. save the new app.py file | |
with open("back.html", "w") as f: | |
f.write(app) | |
api.upload_file( | |
path_or_fileobj="back.html", | |
path_in_repo="back.html", | |
repo_id=repo_name, | |
token=token, | |
repo_type="space", | |
) | |
os.remove("back.html") | |
####### gab | |
with open("template/back.html", "r") as f: | |
app = f.read() | |
app = app.replace("$iframe", t_iframe) | |
app = app.replace("$pad", "56%") | |
# 3. save the new app.py file | |
with open("back_gab.html", "w") as f: | |
f.write(app) | |
api.upload_file( | |
path_or_fileobj="back_gab.html", | |
path_in_repo="back_gab.html", | |
repo_id=repo_name, | |
token=token, | |
repo_type="space", | |
) | |
os.remove("back_gab.html") | |
return gr.HTML.update(f'''<center>Your Interactive Twitter Card Embed Link is:<br><a href="{t_link}" target="_blank">{t_link}</a><br> | |
Your Interactive Mastodon Card Embed Link is:<br><a href="{t_link3}" target="_blank">{t_link3}</a><br> | |
Your Interactive Gab Card Embed Link is:<br><a href="{t_link2}" target="_blank">{t_link2}</a><br> | |
<center><br>''') | |
except Exception as e: | |
return gr.HTML.update(f"""{str(e)}""") | |
def d_im(): | |
output="https://huggingface.co/spaces/portal/bin/resolve/main/ai_demo_card.png" | |
return output | |
def up_c(im,c_slider): | |
img1 = Image.open(im) | |
img1.thumbnail((500,500), Image.Resampling.LANCZOS) | |
img1.save(f'tmpim22-{uid}.png') | |
out = slide_fn(c_slider) | |
return out | |
text_gen=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link",live=True, preprocess=True) | |
#im_gen=gr.Interface.load("spaces/Omnibus/Diffusionator-mod") | |
def get_prompts(prompt_text): | |
gen=text_gen(prompt_text) | |
return gen | |
def gen_im(prompt,model_choice=5,count=1): | |
t=0 | |
output_list=[] | |
while t<int(count): | |
proc1=models2[int(model_choice)] | |
output1=proc1(prompt) | |
output_list.append(output1) | |
inputs=f"{inputs} " | |
t+=1 | |
return(output_list) | |
with gr.Blocks() as build_app: | |
gr.Markdown("""<center><h1>Interactive Twitter Card Builder</h1></center>""") | |
with gr.Row(): | |
gr.Column(scale=1) | |
with gr.Column(scale=3): | |
with gr.Accordion("Details",open=False): | |
with gr.Tab("Description"): | |
gr.Markdown("""<h7>This space will build an Interactive Twitter Card<br> | |
where Twitter (and other) users can run your Gradio demo<br> | |
right on their Social Media feed.<br><br> | |
*Only works through browser, not Twitter App<br><br> | |
Enter the required information and paste the link that is returned<br> | |
as the only link, along with your message and tags, in your Tweet.<br> | |
When posted, the Interactive Twitter Card should have a Play button<br> | |
which will display the Space you provided.<br><br> | |
Twitter will remember this card associated with the link you post,<br> | |
so any changes will often require a differently named link.<br><br> | |
You can test your link first by omitting your Write token<br> | |
which will assign the default REPO: "portal"<br>(Link: portal-NAME.hf.space)<br><br> | |
This Space is a Demo, and is a Work in Progress<br> | |
No Warranties, Guarantees, or Permissions implied | |
""") | |
with gr.Tab("Credits"): | |
gr.Markdown("""<h7><a href='https://huggingface.co/spaces/anzorq/sd-space-creator'>anzorq/sd-space-creator</a><br>""") | |
with gr.Box(): | |
option_token = gr.Textbox(label="HF Write Token to write to your REPO", placeholder="Optional") | |
t_name = gr.Textbox(label="NAME (Link will be: repo-NAME.hf.space)") | |
t_space = gr.Textbox(label="Direct URL to your Space (https://you-repo-you-space.hf.space)") | |
t_title = gr.Textbox(label="Title for Twitter Card") | |
t_description = gr.Textbox(label="Short Description for Twitter Card") | |
t_redirect = gr.Textbox(label="Redirect URL for Twitter Card Click") | |
gr.Markdown("""Image for your Card (min: 300x300 [Square]""") | |
t_image_url = gr.Textbox(label="Image URL", placeholder="Optional URL Input") | |
t_image = gr.Image(label="Twitter Card Image", type="filepath",interactive=True) | |
with gr.Row(): | |
def_im = gr.Button("Load Default Image") | |
#gen_im = gr.Button("Generate Image") | |
with gr.Accordion("Generated Image Controls", open=False): | |
prompt_input=gr.Textbox("Seed Prompt", placeholder="Optional") | |
with gr.Row(): | |
model_name1 = gr.Dropdown(show_label=False, choices=[m for m in models], type="index", value=current_model, interactive=True) | |
count = gr.Number(value=1) | |
with gr.Row(): | |
magic_btn=gr.Button("Magic Prompt") | |
gen_btn=gr.Button("Generate Images") | |
gen_im_out=gr.Gallery(columns=2) | |
c_image=gr.Image(label="Cropped Image", type="filepath",interactive=False) | |
c_slider=gr.Slider(0,220,value=0,step=1,label="Adjust Vertical Crop") | |
c_upbtn=gr.Button("Update Crop") | |
with gr.Tab("Build"): | |
build_button = gr.Button("Build") | |
output_html = gr.HTML("""""") | |
with gr.Tab("Download"): | |
dl_button = gr.Button("Download") | |
files_out = gr.Files() | |
gr.Column(scale=1) | |
magic_btn.click(get_prompts,prompt_input,prompt_input) | |
gen_btn.click(gen_im,[prompt_input,model_name1,count],gen_im_out) | |
t_image.change(up_c,[t_image,c_slider],c_image) | |
c_upbtn.click(slide_fn,c_slider,c_image) | |
build_button.click(build_space,[t_name,t_space,t_title,t_description,t_redirect,t_image,t_image_url,option_token],output_html) | |
dl_button.click(make_files,[t_name,t_space,t_title,t_description,t_redirect,t_image,t_image_url,option_token],files_out) | |
def_im.click(d_im,None,t_image) | |
build_app.queue(concurrency_count=10).launch() |