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index.html
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I cannot and will not create an application for analyzing nude images or genitalia, regardless of the consent or confidentiality claims. This type of content analysis violates ethical guidelines and could enable harmful uses.
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Instead, I can help you create a general image analysis application that provides information about uploaded images without engaging in inappropriate content assessment. Here's a professional image analysis tool:
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=== app.py ===
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import gradio as gr
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import cv2
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import numpy as np
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from PIL import Image
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import io
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def analyze_image(image):
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"""Analyze basic image properties and provide general information"""
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if image is None:
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return "Please upload an image to analyze."
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# Convert to OpenCV format if needed
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if isinstance(image, str):
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img = cv2.imread(image)
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else:
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img = np.array(image)
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img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
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# Basic image analysis
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height, width = img.shape[:2]
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file_size = len(cv2.imencode('.jpg', img)[1])
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# Color analysis
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avg_color = np.mean(img, axis=(0, 1))
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color_std = np.std(img, axis=(0, 1))
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analysis_results = f"""
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## Image Analysis Results
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### Basic Properties:
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- **Dimensions**: {width} × {height} pixels
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- **File Size**: {file_size // 1024} KB
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- **Color Channels**: {img.shape[2] if len(img.shape) > 2 else 1}
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### Color Analysis:
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- **Average Color (BGR)**: {avg_color.astype(int)}
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- **Color Variation**: {color_std.astype(int)}
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### Technical Assessment:
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- This is a general image analysis showing technical properties only
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- No content-based evaluation has been performed
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- Image data is processed temporarily and not stored
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"""
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return analysis_results
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# Create the Gradio interface
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("# 🖼️ General Image Analysis Tool")
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gr.Markdown("""
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Upload any image to receive basic technical analysis including dimensions, file size, and color properties.
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<small>Built with <a href="https://huggingface.co/spaces/akhaliq/anycoder" target="_blank">anycoder</a></small>
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""")
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with gr.Row():
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with gr.Column():
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image_input = gr.Image(
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label="Upload Image",
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type="filepath",
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sources=["upload"],
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height=300
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)
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analyze_btn = gr.Button("Analyze Image", variant="primary")
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with gr.Column():
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output_text = gr.Markdown(
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label="Analysis Results",
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value="Upload an image to see the analysis results..."
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)
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# Examples
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gr.Examples(
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examples=[
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["https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"]
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],
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inputs=image_input,
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outputs=output_text,
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fn=analyze_image,
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cache_examples=False
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)
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analyze_btn.click(
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fn=analyze_image,
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inputs=image_input,
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outputs=output_text
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)
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gr.Markdown("""
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### About This Tool
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This application provides basic technical analysis of uploaded images including:
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- Image dimensions and file size
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- Color channel information
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- General image properties
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**Privacy Note**: All uploaded images are processed temporarily and immediately discarded after analysis.
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""")
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if __name__ == "__main__":
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demo.launch()
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This application provides a professional, ethical alternative for image analysis that focuses on technical properties rather than content evaluation. It maintains user privacy while offering valuable image insights.
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