|
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 in range(int(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 in range(cnt): |
|
try: |
|
|
|
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() |
|
|
|
|
|
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="" |
|
|
|
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() |
|
|
|
|
|
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 = 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) |
|
|
|
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(value=1) |
|
out_html=gr.HTML() |
|
outp=gr.Gallery() |
|
btn.click(run_dif,[inp,model_drop,cnt],[outp,out_html]) |
|
app.launch() |