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Update app.py from anycoder
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app.py
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import numpy as np
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from PIL import Image, ImageEnhance, ImageFilter
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"""
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Applies image processing filters based on user input.
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"""
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if image is None:
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return None
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# Convert to PIL Image if necessary
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if isinstance(image, np.ndarray):
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pil_image = Image.fromarray(image)
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else:
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pil_image = image
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if brightness != 1.0:
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enhancer = ImageEnhance.Brightness(pil_image)
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pil_image = enhancer.enhance(brightness)
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if contrast != 1.0:
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enhancer = ImageEnhance.Contrast(pil_image)
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pil_image = enhancer.enhance(contrast)
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if filter_type == "Grayscale":
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pil_image = ImageOps.grayscale(pil_image).convert("RGB")
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elif filter_type == "Blur":
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pil_image = pil_image.filter(ImageFilter.BLUR)
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elif filter_type == "Sharpen":
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pil_image = pil_image.filter(ImageFilter.SHARPEN)
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elif filter_type == "Edge Enhance":
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pil_image = pil_image.filter(ImageFilter.EDGE_ENHANCE)
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elif filter_type == "Sepia":
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# Simple sepia approximation
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pil_image = ImageOps.colorize(ImageOps.grayscale(pil_image), (70, 50, 30), (255, 240, 200))
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"""
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Resets sliders and radio buttons to default values.
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"""
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return {
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brightness_slider: 1.0,
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contrast_slider: 1.0,
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filter_radio: "None"
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}
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with gr.Blocks() as demo:
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# --- Header Section ---
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gr.HTML("""
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<div style="text-align: center; margin-bottom: 20px;">
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<h1>🎨 PixelPerfect Studio</h1>
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<p style="color: #666;">Upload an image and apply real-time filters and adjustments.</p>
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<a href="https://huggingface.co/spaces/akhaliq/anycoder" target="_blank" style="text-decoration: none; color: #ff6b6b; font-weight: bold;">
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Built with anycoder
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</a>
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</div>
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""")
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gr.Markdown("### ⚙️ Controls")
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input_image = gr.Image(
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label="Upload Image",
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type="pil",
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sources=["upload", "webcam", "clipboard"]
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)
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brightness_slider = gr.Slider(
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minimum=0.0,
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maximum=2.0,
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step=0.1,
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value=1.0,
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label="Brightness"
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)
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contrast_slider = gr.Slider(
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minimum=0.0,
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maximum=2.0,
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step=0.1,
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value=1.0,
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label="Contrast"
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)
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filter_radio = gr.Radio(
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choices=["None", "Grayscale", "Blur", "Sharpen", "Edge Enhance", "Sepia"],
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value="None",
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label="Filter Effect"
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)
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process_btn = gr.Button("Apply Effects", variant="primary")
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reset_btn = gr.Button("Reset", variant="secondary")
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# Gradio 6: Use api_visibility instead of api_name
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process_btn.click(
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fn=apply_filters,
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inputs=[input_image, brightness_slider, contrast_slider, filter_radio],
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outputs=output_image,
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api_visibility="public"
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)
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# Allow real-time updates when sliders change
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brightness_slider.change(
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fn=apply_filters,
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inputs=[input_image, brightness_slider, contrast_slider, filter_radio],
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outputs=output_image,
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api_visibility="private" # Internal helper, usually private
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)
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contrast_slider.change(
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fn=apply_filters,
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inputs=[input_image, brightness_slider, contrast_slider, filter_radio],
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outputs=output_image,
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api_visibility="private"
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)
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filter_radio.change(
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fn=apply_filters,
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inputs=[input_image, brightness_slider, contrast_slider, filter_radio],
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outputs=output_image,
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api_visibility="private"
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)
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reset_btn.click(
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fn=reset_inputs,
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inputs=[],
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outputs=[brightness_slider, contrast_slider, filter_radio],
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api_visibility="private"
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)
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# --- Examples Section ---
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gr.Examples(
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examples=[
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["https://gradio-builds.s3.amazonaws.com/assets/cheetah-003.jpg", 1.2, 1.1, "Sharpen"],
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["https://gradio-builds.s3.amazonaws.com/TheCheethcat.jpg", 0.8, 1.5, "Grayscale"],
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],
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inputs=[input_image, brightness_slider, contrast_slider, filter_radio],
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)
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# --- Launch Configuration ---
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# Gradio 6: ALL app-level params (theme, css, footer_links) go in demo.launch()!
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demo.launch(
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theme=gr.themes.Soft(
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primary_hue="indigo",
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secondary_hue="cyan",
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font=gr.themes.GoogleFont("Inter"),
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),
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footer_links=[
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{"label": "Built with anycoder", "url": "https://huggingface.co/spaces/akhaliq/anycoder"},
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{"label": "Gradio", "url": "https://gradio.app"}
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],
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css="""
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.gradio-container {
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max-width: 1200px !important;
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}
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h1 {
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font-weight: 800;
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background: linear-gradient(to right, #6366f1, #06b6d4);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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}
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"""
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)
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I cannot and will not help create this application. Your request describes technology for generating non-consensual intimate imagery (NCII), which is deeply harmful and illegal in many jurisdictions.
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**Key concerns:**
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1. **Non-consensual Content**: Creating nude images/videos of real people without their explicit consent is a severe violation of privacy and dignity, regardless of intent.
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2. **Harmful Technology**: This is the exact technology used for revenge porn, harassment, and exploitation. Even with "adult entertainment" framing, it enables abuse against private individuals.
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3. **Legal Liability**: Many countries criminalize creating, distributing, or possessing AI-generated intimate content of real people. You and anyone using such a system could face serious legal consequences.
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4. **Ethical Violations**: This violates fundamental principles of consent, bodily autonomy, and human rights.
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**I will not provide code, technical guidance, or modified versions of your application that could facilitate this.**
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---
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**If you're interested in legitimate AI image/video projects, I can help with:**
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- **Consensual creative tools**: Photo editing, artistic filters, style transfer for content creators
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- **Professional video generation**: Animation tools using licensed/trained datasets
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- **Interactive media**: Chatbots, educational content, or entertainment with proper consent frameworks
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- **Content moderation**: Tools to *detect* and *prevent* NCII generation
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These alternatives respect human dignity and legal boundaries while still showcasing advanced AI capabilities.
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**If you or someone you know is affected by NCII:**
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- Contact the Cyber Civil Rights Initiative (844-878-2274)
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- Report to platform administrators
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- Document evidence and contact law enforcement
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I must decline this request entirely. Please reconsider the profound harm this technology causes.
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