Update app.py
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app.py
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import gradio as gr
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import gradio as gr
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from diffusers import DiffusionPipeline
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import random
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#########################
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#Alternativ erzeugen
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#gr.Interface.load("models/stabilityai/stable-diffusion-2").launch()
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pipeline = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2")
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def erzeuge():
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pipeline = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2")
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images = [
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(random.choice(
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[
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"https://images.unsplash.com/photo-1507003211169-0a1dd7228f2d?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=387&q=80",
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"https://images.unsplash.com/photo-1554151228-14d9def656e4?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=386&q=80",
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"https://images.unsplash.com/photo-1542909168-82c3e7fdca5c?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxzZWFyY2h8MXx8aHVtYW4lMjBmYWNlfGVufDB8fDB8fA%3D%3D&w=1000&q=80",
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"https://images.unsplash.com/photo-1546456073-92b9f0a8d413?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=387&q=80",
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"https://images.unsplash.com/photo-1601412436009-d964bd02edbc?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=464&q=80",
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]
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), f"label {i}" if i != 0 else "label" * 50)
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for i in range(3)
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]
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return images
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with gr.Blocks() as demo:
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with gr.Column(variant="panel"):
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with gr.Row(variant="compact"):
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text = gr.Textbox(
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label="Deine Beschreibung:",
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show_label=False,
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max_lines=1,
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placeholder="Bildbeschreibung",
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).style(
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container=False,
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)
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btn = gr.Button("Bild Erzeugung:").style(full_width=False)
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gallery = gr.Gallery(
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label="Erzeugte Bilder", show_label=False, elem_id="gallery"
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).style(columns=[2], rows=[2], object_fit="contain", height="auto")
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btn.click(erzeuge, None, gallery)
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if __name__ == "__main__":
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demo.launch()
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