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import gradio as gr | |
from models import models | |
from PIL import Image | |
import requests | |
import uuid | |
import io | |
import base64 | |
import threading | |
loaded_model=[] | |
for i,model in enumerate(models): | |
try: | |
loaded_model.append(gr.load(f'models/{model}')) | |
except Exception as e: | |
print(e) | |
pass | |
print (loaded_model) | |
def run_dif(out_prompt,model_drop,cnt): | |
p_seed="" | |
out_box=[] | |
out_html="" | |
#for i,ea in enumerate(loaded_model): | |
for i in range(cnt): | |
p_seed+=" " | |
try: | |
model=loaded_model[int(model_drop)] | |
out_img=model(out_prompt+p_seed) | |
print(out_img) | |
out_box.append(out_img) | |
except Exception as e: | |
print(e) | |
out_html=str(e) | |
pass | |
yield out_box,out_html | |
def run_dif_og(out_prompt,model_drop,cnt): | |
out_box=[] | |
out_html="" | |
#for i,ea in enumerate(loaded_model): | |
for i in range(cnt): | |
try: | |
#print (ea) | |
model=loaded_model[int(model_drop)] | |
out_img=model(out_prompt) | |
print(out_img) | |
url=f'https://omnibus-top-20.hf.space/file={out_img}' | |
print(url) | |
uid = uuid.uuid4() | |
#urllib.request.urlretrieve(image, 'tmp.png') | |
#out=Image.open('tmp.png') | |
r = requests.get(url, stream=True) | |
if r.status_code == 200: | |
img_buffer = io.BytesIO(r.content) | |
print (f'bytes:: {io.BytesIO(r.content)}') | |
str_equivalent_image = base64.b64encode(img_buffer.getvalue()).decode() | |
img_tag = "<img src='data:image/png;base64," + str_equivalent_image + "'/>" | |
out_html+=f"<div class='img_class'><a href='https://huggingface.co/models/{models[i]}'>{models[i]}</a><br>"+img_tag+"</div>" | |
out = Image.open(io.BytesIO(r.content)) | |
out_box.append(out) | |
html_out = "<div class='grid_class'>"+out_html+"</div>" | |
yield out_box,html_out | |
except Exception as e: | |
out_html+=str(e) | |
html_out = "<div class='grid_class'>"+out_html+"</div>" | |
yield out_box,html_out | |
def thread_dif(out_prompt,mod): | |
out_box=[] | |
out_html="" | |
#for i,ea in enumerate(loaded_model): | |
try: | |
print (ea) | |
model=loaded_model[int(mod)] | |
out_img=model(out_prompt) | |
print(out_img) | |
url=f'https://omnibus-top-20.hf.space/file={out_img}' | |
print(url) | |
uid = uuid.uuid4() | |
#urllib.request.urlretrieve(image, 'tmp.png') | |
#out=Image.open('tmp.png') | |
r = requests.get(url, stream=True) | |
if r.status_code == 200: | |
img_buffer = io.BytesIO(r.content) | |
print (f'bytes:: {io.BytesIO(r.content)}') | |
str_equivalent_image = base64.b64encode(img_buffer.getvalue()).decode() | |
img_tag = "<img src='data:image/png;base64," + str_equivalent_image + "'/>" | |
#out_html+=f"<div class='img_class'><a href='https://huggingface.co/models/{models[i]}'>{models[i]}</a><br>"+img_tag+"</div>" | |
out = Image.open(io.BytesIO(r.content)) | |
out_box.append(out) | |
else: | |
out_html=r.status_code | |
html_out = "<div class='grid_class'>"+out_html+"</div>" | |
return out_box,html_out | |
except Exception as e: | |
out_html=str(e) | |
#out_html+=str(e) | |
html_out = "<div class='grid_class'>"+out_html+"</div>" | |
return out_box,html_out | |
def start_threads(prompt): | |
t1 = threading.Thread(target=thread_dif, args=(prompt,0)) | |
t2 = threading.Thread(target=thread_dif, args=(prompt,1)) | |
t1.start() | |
t2.start() | |
print (t1) | |
print (t2) | |
a1,a2=t1.result() | |
b1,b2=t2.result() | |
return a1,a2 | |
css=""" | |
.grid_class{ | |
display:flex; | |
height:100%; | |
} | |
.img_class{ | |
min-width:200px; | |
} | |
""" | |
with gr.Blocks(css=css) as app: | |
with gr.Row(): | |
inp=gr.Textbox(label="Prompt") | |
btn=gr.Button() | |
with gr.Row(): | |
model_drop=gr.Dropdown(label="Models", choices=models, type='index', value=models[0]) | |
cnt = gr.Number() | |
out_html=gr.HTML() | |
outp=gr.Gallery() | |
btn.click(run_dif,[inp,model_drop,cnt],[outp,out_html]) | |
app.launch() |