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Update app.py
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app.py
CHANGED
@@ -1,7 +1,10 @@
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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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css_code = os.getenv("DazDinGo_CSS")
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@@ -18,52 +21,63 @@ def load_fn(models):
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load_fn(models)
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num_models = len(models)
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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'), elem_id="custom_image") 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, 4294967296))
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klir = '| ultra detail, ultra elaboration, ultra quality, perfect'
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def make_me():
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with gr.Row():
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with gr.Column(scale=4):
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txt_input = gr.Textbox(label='Your prompt:', lines=4, container=False,
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with gr.Column(scale=1):
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gen_button = gr.Button('Generate
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stop_button = gr.Button('Stop', variant='secondary', interactive=False,
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def on_generate_click():
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return gr.Button('Generate
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def on_stop_click():
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return gr.Button('Generate
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gen_button.click(on_generate_click, inputs=None, outputs=[gen_button, stop_button])
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stop_button.click(on_stop_click, inputs=None, outputs=[gen_button, stop_button])
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with gr.Row():
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with gr.Row():
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gr.HTML("")
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import os
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import gradio as gr
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import base64
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from random import randint
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from all_models import models
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from io import BytesIO
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from PIL import Image
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css_code = os.getenv("DazDinGo_CSS")
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load_fn(models)
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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, 4294967296))
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klir = '| ultra detail, ultra elaboration, ultra quality, perfect'
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image = models_load[model_str](f'{prompt} {klir} {noise}')
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# Convert to base64
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buffered = BytesIO()
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if isinstance(image, str): # if it's a file path
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img = Image.open(image)
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img.save(buffered, format="JPEG")
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else: # if it's a PIL Image
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image.save(buffered, format="JPEG")
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img_str = base64.b64encode(buffered.getvalue()).decode()
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base64_code = f"data:image/jpeg;base64,{img_str}"
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return image, base64_code
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def make_me():
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with gr.Row():
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with gr.Column(scale=4):
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txt_input = gr.Textbox(label='Your prompt:', lines=4, container=False,
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elem_id="custom_textbox", placeholder="Prompt", height=250)
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with gr.Column(scale=1):
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gen_button = gr.Button('Generate image', elem_id="custom_gen_button")
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stop_button = gr.Button('Stop', variant='secondary', interactive=False,
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elem_id="custom_stop_button")
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def on_generate_click():
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return gr.Button('Generate image', elem_id="custom_gen_button"), gr.Button('Stop', variant='secondary', interactive=True, elem_id="custom_stop_button")
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def on_stop_click():
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return gr.Button('Generate image', elem_id="custom_gen_button"), gr.Button('Stop', variant='secondary', interactive=False, elem_id="custom_stop_button")
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gen_button.click(on_generate_click, inputs=None, outputs=[gen_button, stop_button])
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stop_button.click(on_stop_click, inputs=None, outputs=[gen_button, stop_button])
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with gr.Row():
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with gr.Column():
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model_dropdown = gr.Dropdown(models, label="Select Model",
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value=models[0] if models else None)
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output_image = gr.Image(label="Generated Image", width=512,
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max_height=768, elem_id="custom_image",
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show_label=True, interactive=False,
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show_share_button=False)
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# Base64 output
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base64_output = gr.Textbox(label="Base64 Code", interactive=True,
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placeholder="Base64 code will appear here after generation",
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lines=4)
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gen_event = gen_button.click(gen_fn, [model_dropdown, txt_input],
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[output_image, base64_output])
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stop_button.click(on_stop_click, inputs=None,
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outputs=[gen_button, stop_button], cancels=[gen_event])
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with gr.Row():
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gr.HTML("")
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