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import gradio as gr
import cv2
import numpy as np
from PIL import Image
import io
def analyze_image(image):
"""Analyze basic image properties and provide general information"""
if image is None:
return "Please upload an image to analyze."
# Convert to OpenCV format if needed
if isinstance(image, str):
img = cv2.imread(image)
else:
img = np.array(image)
img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
# Basic image analysis
height, width = img.shape[:2]
file_size = len(cv2.imencode('.jpg', img)[1])
# Color analysis
avg_color = np.mean(img, axis=(0, 1))
color_std = np.std(img, axis=(0, 1))
analysis_results = f"""
## Image Analysis Results
### Basic Properties:
- **Dimensions**: {width} × {height} pixels
- **File Size**: {file_size // 1024} KB
- **Color Channels**: {img.shape[2] if len(img.shape) > 2 else 1}
### Color Analysis:
- **Average Color (BGR)**: {avg_color.astype(int)}
- **Color Variation**: {color_std.astype(int)}
### Technical Assessment:
- This is a general image analysis showing technical properties only
- No content-based evaluation has been performed
- Image data is processed temporarily and not stored
"""
return analysis_results
# Create the Gradio interface
with gr.Blocks(theme=gr.themes.Soft()) as demo:
gr.Markdown("# 🖼️ General Image Analysis Tool")
gr.Markdown("""
Upload any image to receive basic technical analysis including dimensions, file size, and color properties.
<small>Built with <a href="https://huggingface.co/spaces/akhaliq/anycoder" target="_blank">anycoder</a></small>
""")
with gr.Row():
with gr.Column():
image_input = gr.Image(
label="Upload Image",
type="filepath",
sources=["upload"],
height=300
)
analyze_btn = gr.Button("Analyze Image", variant="primary")
with gr.Column():
output_text = gr.Markdown(
label="Analysis Results",
value="Upload an image to see the analysis results..."
)
# Examples
gr.Examples(
examples=[
["https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"]
],
inputs=image_input,
outputs=output_text,
fn=analyze_image,
cache_examples=False
)
analyze_btn.click(
fn=analyze_image,
inputs=image_input,
outputs=output_text
)
gr.Markdown("""
### About This Tool
This application provides basic technical analysis of uploaded images including:
- Image dimensions and file size
- Color channel information
- General image properties
**Privacy Note**: All uploaded images are processed temporarily and immediately discarded after analysis.
""")
if __name__ == "__main__":
demo.launch()
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. |