Spaces:
Running
Running
File size: 3,638 Bytes
fad351b c9e057a fad351b c9e057a fad351b c9e057a fad351b 0657997 fad351b c9e057a fad351b c9e057a fad351b c9e057a fad351b 8f8338c 829b857 afb640e f4ebb76 fad351b e5a869c 7ce358b fad351b 8b7f57b fad351b c20c220 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 |
import gradio as gr
from random import randint
from all_models import models
from externalmod import gr_Interface_load
import asyncio
import os
from threading import RLock
lock = RLock()
HF_TOKEN = os.environ.get("HF_TOKEN") if os.environ.get("HF_TOKEN") else None # If private or gated models aren't used, ENV setting is unnecessary.
def load_fn(models):
global models_load
models_load = {}
for model in models:
if model not in models_load.keys():
try:
m = gr_Interface_load(f'models/{model}', hf_token=HF_TOKEN)
except Exception as error:
print(error)
m = gr.Interface(lambda: None, ['text'], ['image'])
models_load.update({model: m})
load_fn(models)
num_models = 6
default_models = models[:num_models]
inference_timeout = 600
def extend_choices(choices):
return choices[:num_models] + (num_models - len(choices[:num_models])) * ['NA']
def update_imgbox(choices):
choices_plus = extend_choices(choices[:num_models])
return [gr.Image(None, label=m, visible=(m!='NA')) for m in choices_plus]
def gen_fn(model_str, prompt):
if model_str == 'NA':
return None
noise = str('') #str(randint(0, 99999999999))
return models_load[model_str](f'{prompt} {noise}')
with gr.Blocks() as demo:
with gr.Tab('Toy World'):
txt_input = gr.Textbox(label='Your prompt:', lines=4)
gen_button = gr.Button('Generate up to 6 images in up to 3 minutes total')
#stop_button = gr.Button('Stop', variant = 'secondary', interactive = False)
gen_button.click(lambda s: gr.update(interactive = True), None)
gr.HTML(
"""
<div style="text-align: center; max-width: 1200px; margin: 0 auto;">
<div>
<body>
<div class="center"><p style="margin-bottom: 10px; color: #000000;">Scroll down to see more images and select models.</p>
</div>
</body>
</div>
</div>
"""
)
with gr.Row():
output = [gr.Image(label = m, min_width=480) for m in default_models]
current_models = [gr.Textbox(m, visible = False) for m in default_models]
for m, o in zip(current_models, output):
gen_event = gr.on(triggers=[gen_button.click, txt_input.submit], fn=gen_fn,
inputs=[m, txt_input], outputs=[o], concurrency_limit=None, queue=False)
#stop_button.click(lambda s: gr.update(interactive = False), None, stop_button, cancels = [gen_event])
with gr.Accordion('Model selection'):
model_choice = gr.CheckboxGroup(models, label = f'Choose up to {int(num_models)} different models from the {len(models)} available!', value=default_models, interactive=True)
#model_choice = gr.CheckboxGroup(models, label = f'Choose up to {num_models} different models from the 2 available! Untick them to only use one!', value = default_models, multiselect = True, max_choices = num_models, interactive = True, filterable = False)
model_choice.change(update_imgbox, model_choice, output)
model_choice.change(extend_choices, model_choice, current_models)
with gr.Row():
gr.HTML(
"""
<div class="footer">
<p> Use 901 models up to six at a time at <a href="https://huggingface.co/spaces/Yntec/ToyWorld">ToyWorld</a></a>!
</p>
"""
)
demo.queue(default_concurrency_limit=200, max_size=200)
demo.launch(show_api=False, max_threads=400) |