Update app.py
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app.py
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import gradio as gr
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import requests
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import json
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from PIL import Image
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import io
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import base64
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for b64_image in data_json['images']:
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img_data = base64.b64decode(b64_image)
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img = Image.open(io.BytesIO(img_data))
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images.append(img)
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except json.JSONDecodeError:
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pass
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except requests.exceptions.RequestException as e:
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raise gr.Error(f"Failed to connect to the generation service: {e}")
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if not images:
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return None, "Generation failed or no images were returned."
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return images, "Generation complete!"
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title = "PlutoGen V0.1"
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description = """
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# Welcome to PlutoGen V0.1
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**Crafting Realistic and Non-Detectable AI Content**
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This is the first model to be released open-source in the near future by **[PlutoLabs](https://huggingface.co/plutolabs)**, a non-profit from Russia dedicated to keeping pace with current technology. Our goal with PlutoGen is to push the boundaries of AI content generation, making it virtually indistinguishable from human-created content.
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While this very first version may not seem like much, it's a step towards infinite possibilities. If you like this project, please consider leaving a like or following our organization for future releases and the upcoming open-source release of v0.1!
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This model is currently running on an RTX 3090, but outperforms other state of the art models by generating an image in 14 seconds on an RTX 3060.
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Enter a prompt below to see what PlutoGen can do.
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"""
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with gr.Blocks(theme='soft') as demo:
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gr.Markdown(f"<h1 style='text-align: center;'>{title}</h1>")
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gr.Markdown(description)
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with gr.Row():
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total_count_output = gr.Textbox(label="Generation Stats", interactive=False)
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with gr.Row():
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with gr.Column(scale=2):
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prompt_input = gr.Textbox(label="Prompt", placeholder="e.g., a photorealistic portrait of a cat wearing a tiny hat")
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submit_button = gr.Button("Generate Images", variant="primary")
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status_output = gr.Textbox(label="Status", interactive=False)
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with gr.Column(scale=3):
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image_output = gr.Gallery(label="Generated Images", columns=2, height="auto")
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submit_button.click(
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fn=generate_from_hosted_api,
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inputs=[prompt_input],
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outputs=[image_output, status_output]
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).then(
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fn=get_total_generated_count,
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outputs=total_count_output
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)
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demo.load(get_total_generated_count, None, total_count_output)
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if __name__ == "__main__":
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demo.launch()
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import gradio as gr
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with gr.Blocks(theme='soft', css="""
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body {
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display: flex;
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justify-content: center;
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align-items: center;
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height: 100vh;
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}
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.center-text {
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text-align: center;
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color: white;
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}
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.center-text h1 {
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font-size: 4rem;
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font-weight: 900;
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margin-bottom: 1rem;
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}
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.center-text p {
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font-size: 1.5rem;
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margin-bottom: 2rem;
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}
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.center-text a {
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color: #a855f7;
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text-decoration: underline;
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font-size: 1.5rem;
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}
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""") as demo:
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gr.HTML("""
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<div class="center-text">
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<h1>Development Paused</h1>
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<p>We've paused development on this demo to focus on our main open-source release of Pluto1.</p>
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<p>Please visit <a href="https://plutovid.com" target="_blank">plutovid.com</a> for the latest updates.</p>
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</div>
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""")
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if __name__ == "__main__":
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demo.launch()
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