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Update app.py
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app.py
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import gradio as gr
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import moviepy.editor as mp
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from random import randint
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from all_models import models
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def load_fn(models):
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global models_load
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models_load = {}
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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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load_fn(models)
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num_models = 100
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default_models = models[:num_models]
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def extend_choices(choices):
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return choices + (num_models - len(choices)) * ['NA']
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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 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, 99999999999))
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def create_video(images, fps=24):
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clip = mp.ImageSequenceClip(images, fps=fps)
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return clip
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with gr.Blocks() as demo:
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with gr.Tab('The Dream'):
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txt_input = gr.Textbox(label='Your prompt:', lines=4).style(container=False,
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gen_button = gr.Button('Generate images
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stop_button = gr.Button('Stop', variant='secondary', interactive=False)
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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: 1200px; margin: 0 auto;">
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<div>
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<body>
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@@ -55,32 +59,26 @@ with gr.Blocks() as demo:
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</div>
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</div>
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"""
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with gr.Row():
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current_models = [gr.Textbox(m, visible=False) for m in default_models]
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for m, o in zip(current_models, output_images):
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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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gen_video_event = gen_button.click(lambda s: create_video([o.data for o in output_images if o.data is not None]), None, output_video)
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stop_button.click(lambda s: gr.update(interactive=False), None, stop_button, cancels=[gen_video_event])
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with gr.Accordion('Model selection'):
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model_choice = gr.CheckboxGroup(models, label=f'Choose up to {num_models} different models from the 755 available!', value=default_models, multiselect=True, max_choices=num_models, interactive=True, filterable=False)
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model_choice.change(update_imgbox, model_choice,
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model_choice.change(extend_choices, model_choice, current_models)
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with gr.Row():
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gr.HTML(
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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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def load_fn(models):
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global models_load
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models_load = {}
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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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load_fn(models)
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num_models = 100
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default_models = models[:num_models]
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def extend_choices(choices):
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return choices + (num_models - len(choices)) * ['NA']
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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 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('') #str(randint(0, 99999999999))
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return models_load[model_str](f'{prompt} {noise}')
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with gr.Blocks() as demo:
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with gr.Tab('The Dream'):
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txt_input = gr.Textbox(label = 'Your prompt:', lines=4).style(container=False,min_width=1200)
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gen_button = gr.Button('Generate up to 6 images in up to 3 minutes total')
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stop_button = gr.Button('Stop', variant = 'secondary', interactive = False)
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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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"""
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<div style="text-align: center; max-width: 1200px; margin: 0 auto;">
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<div>
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<body>
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</div>
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</div>
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"""
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)
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with gr.Row():
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output = [gr.Image(label = m, min_width=480) 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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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'Choose up to {num_models} different models from the 755 available!', value = default_models, multiselect = True, max_choices = num_models, interactive = True, filterable = False)
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model_choice.change(update_imgbox, model_choice, output)
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model_choice.change(extend_choices, model_choice, current_models)
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with gr.Row():
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gr.HTML(
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"""
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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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)
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demo.queue(concurrency_count = 200)
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demo.launch()
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