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import os |
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import gradio as gr |
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from random import randint |
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from all_models import models |
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from datetime import datetime |
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from threading import RLock |
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lock = RLock() |
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now2 = 0 |
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nb_models=24 |
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def split_models(models,nb_models): |
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models_temp=[] |
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models_lis_temp=[] |
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i=0 |
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for m in models: |
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models_temp.append(m) |
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i=i+1 |
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if i%nb_models==0: |
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models_lis_temp.append(models_temp) |
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models_temp=[] |
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if len(models_temp)>1: |
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models_lis_temp.append(models_temp) |
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return models_lis_temp |
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def split_models_axb(models,a,b): |
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models_temp=[] |
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models_lis_temp=[] |
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i=0 |
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nb_models=b |
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for m in models: |
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for j in range(a): |
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models_temp.append(m) |
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i=i+1 |
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if i%nb_models==0: |
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models_lis_temp.append(models_temp) |
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models_temp=[] |
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if len(models_temp)>1: |
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models_lis_temp.append(models_temp) |
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return models_lis_temp , a*b |
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def split_models_8x3(models,nb_models): |
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models_temp=[] |
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models_lis_temp=[] |
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i=0 |
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nb_models_x3=8 |
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for m in models: |
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models_temp.append(m) |
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i=i+1 |
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if i%nb_models_x3==0: |
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models_lis_temp.append(models_temp+models_temp+models_temp) |
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models_temp=[] |
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if len(models_temp)>1: |
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models_lis_temp.append(models_temp+models_temp+models_temp) |
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return models_lis_temp |
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"""models_test=split_models_x3(models,nb_models)""" |
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"""models_test=split_models(models,nb_models)""" |
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models_test , nb_models =split_models_axb(models,2,20) |
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def get_current_time(): |
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now = datetime.now() |
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now2 = now |
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current_time = now2.strftime("%Y-%m-%d %H:%M:%S") |
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ki = f'{kii} {current_time}' |
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return ki |
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def load_fn(models): |
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global models_load |
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global num_models |
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global default_models |
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models_load = {} |
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num_models = len(models) |
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if num_models!=0: |
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default_models = models[:num_models] |
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else: |
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default_models = {} |
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for model in models: |
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if model not in models_load.keys(): |
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try: |
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m = gr.load(f'models/{model}') |
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except Exception as error: |
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m = gr.Interface(lambda txt: None, ['text'], ['image']) |
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models_load.update({model: m}) |
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"""models = models_test[1]""" |
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load_fn(models) |
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"""models = {} |
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load_fn(models)""" |
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def extend_choices(choices): |
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return choices + (nb_models - len(choices)) * ['NA'] |
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"""return choices + (num_models - len(choices)) * ['NA']""" |
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def extend_choices_b(choices): |
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choices_plus = extend_choices(choices) |
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return [gr.Textbox(m, visible=False) for m in choices_plus] |
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def update_imgbox(choices): |
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choices_plus = extend_choices(choices) |
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return [gr.Image(None, label=m, visible=(m != 'NA')) for m in choices_plus] |
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def choice_group_a(group_model_choice): |
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for m in models_test: |
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if group_model_choice==m[1]: |
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choice=m |
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print(choice) |
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return choice |
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def choice_group_b(group_model_choice): |
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choice=choice_group_a(group_model_choice) |
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choice = extend_choices(choice) |
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"""return [gr.Image(label=m, min_width=170, height=170) for m in choice]""" |
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return [gr.Image(None, label=m, visible=(m != 'NA')) for m in choice] |
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def choice_group_c(group_model_choice): |
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choice=choice_group_a(group_model_choice) |
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choice = extend_choices(choice) |
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return [gr.Textbox(m, visible=False) for m in choice] |
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def choice_group_d(var_Test): |
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(gen_button,stop_button,output,current_models)=var_Test |
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for m, o in zip(current_models, output): |
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gen_event = gen_button.click(gen_fn, [m, txt_input], o) |
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stop_button.click(lambda s: gr.update(interactive=False), None, stop_button, cancels=[gen_event]) |
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return gen_event |
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def test_pass(test): |
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if test==os.getenv('p'): |
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print("ok") |
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return gr.Dropdown(label="test Model", show_label=False, choices=list(models_test) , allow_custom_value=True) |
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else: |
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print("nop") |
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return gr.Dropdown(label="test Model", show_label=False, choices=list([]) , allow_custom_value=True) |
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def gen_fn(model_str, prompt): |
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if model_str == 'NA': |
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return None |
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noise = str(randint(0, 9999)) |
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try : |
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m=models_load[model_str](f'{prompt} {noise}') |
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except Exception as error : |
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print("error : " + model_str) |
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m=False |
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return m |
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def add_gallery(image, model_str, gallery): |
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if gallery is None: gallery = [] |
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with lock: |
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if image is not None: gallery.insert(0, (image, model_str)) |
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return gallery |
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def make_me(): |
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with gr.Row(): |
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txt_input = gr.Textbox(label='Your prompt:', lines=3, width=300, max_height=100) |
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gen_button = gr.Button('Generate images', width=150, height=30) |
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stop_button = gr.Button('Stop', variant='secondary', interactive=False, width=150, height=30) |
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gen_button.click(lambda s: gr.update(interactive=True), None, stop_button) |
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gr.HTML(""" |
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<div style="text-align: center; max-width: 100%; margin: 0 auto;"> |
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<body> |
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</body> |
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</div> |
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""") |
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with gr.Row(): |
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"""output = [gr.Image(label=m, min_width=170, height=170) for m in default_models] |
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current_models = [gr.Textbox(m, visible=False) for m in default_models]""" |
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"""choices=[models_test[0][0]]""" |
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choices=models_test[0] |
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"""output = [gr.Image(label=m, min_width=170, height=170) for m in choices] |
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current_models = [gr.Textbox(m, visible=False) for m in choices]""" |
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output = update_imgbox([choices[0]]) |
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current_models = extend_choices_b([choices[0]]) |
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for m, o in zip(current_models, output): |
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gen_event = gen_button.click(gen_fn, [m, txt_input], o) |
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stop_button.click(lambda s: gr.update(interactive=False), None, stop_button, cancels=[gen_event]) |
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"""with gr.Accordion('Model selection'): |
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model_choice = gr.CheckboxGroup(models, label=f' {num_models} different models selected', value=default_models, multiselect=True, max_choices=num_models, interactive=True, filterable=False) |
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model_choice.change(update_imgbox, (gen_button,stop_button,group_model_choice), output) |
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model_choice.change(extend_choices, model_choice, current_models) |
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""" |
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with gr.Accordion("test", open=True): |
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"""group_model_choice = gr.Dropdown(label="test Model", show_label=False, choices=list(models_test) , allow_custom_value=True)""" |
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group_model_choice = gr.Dropdown(label="test Model", show_label=False, choices=list([]) , allow_custom_value=True) |
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group_model_choice.change(choice_group_b,group_model_choice,output) |
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group_model_choice.change(choice_group_c,group_model_choice,current_models) |
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"""group_model_choice.change(choice_group_d,(gen_button,stop_button,output,current_models),gen_event)""" |
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with gr.Row(): |
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txt_input_p = gr.Textbox(label='test', lines=1, width=300, max_height=100) |
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test_button = gr.Button('test', width=30, height=10) |
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test_button.click(test_pass,txt_input_p,group_model_choice) |
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with gr.Row(): |
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gr.HTML(""" |
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<div class="footer"> |
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<p> Based on the <a href="https://huggingface.co/spaces/derwahnsinn/TestGen">TestGen</a> Space by derwahnsinn, the <a href="https://huggingface.co/spaces/RdnUser77/SpacIO_v1">SpacIO</a> Space by RdnUser77 and Omnibus's Maximum Multiplier! |
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</p> |
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""") |
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js_code = """ |
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console.log('ghgh'); |
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""" |
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with gr.Blocks(css="div.float.svelte-1mwvhlq { position: absolute; top: var(--block-label-margin); left: var(--block-label-margin); background: none; border: none;}") as demo: |
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gr.Markdown("<script>" + js_code + "</script>") |
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make_me() |
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demo.queue(concurrency_count=999) |
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demo.launch() |
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