Create app.py

app.py

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+import os
+from flask import Flask, request, send_file, jsonify
+from flask_cors import CORS
+from vtracer import convert_image_to_svg_py
+import cairosvg
+from PIL import Image
+import io
+
+app = Flask(__name__)
+CORS(app)  # HTML App se connect karne ke liye zaroori
+
+def process_image(image_file):
+    # 1. Image Read
+    img = Image.open(image_file)
+    
+    # 2. Shutterstock Logic (Smart Resize)
+    # Hamein Total Pixels > 4 Million chahiye (e.g. 2000x2000 = 4MP)
+    width, height = img.size
+    total_pixels = width * height
+    target_pixels = 4500000  # 4.5 MP (Safety margin)
+
+    if total_pixels < target_pixels:
+        # Calculate scaling factor
+        scale_ratio = (target_pixels / total_pixels) ** 0.5
+        new_width = int(width * scale_ratio)
+        new_height = int(height * scale_ratio)
+        
+        # High Quality Resize (LANCZOS)
+        img = img.resize((new_width, new_height), Image.Resampling.LANCZOS)
+        print(f"Upscaled to: {new_width}x{new_height}")
+    
+    # Save temp png
+    input_path = "/tmp/temp_input.png"
+    svg_path = "/tmp/temp_vector.svg"
+    eps_path = "/tmp/output_shutterstock.eps"
+    
+    img.save(input_path)
+
+    # 3. Vector Conversion (Cleanest Settings)
+    convert_image_to_svg_py(
+        input_path,
+        svg_path,
+        colormode='color',
+        hierarchical='stacked',
+        mode='spline',       # Curves not pixels
+        filter_speckle=10,   # Choti dots remove
+        color_precision=8,
+        layer_difference=12,
+        corner_threshold=60,
+        length_threshold=10,
+        max_iterations=10,
+        splice_threshold=45,
+        path_precision=3
+    )
+
+    # 4. EPS Conversion
+    cairosvg.svg2eps(url=svg_path, write_to=eps_path)
+    
+    return eps_path
+
+@app.route('/convert', methods=['POST'])
+def convert():
+    if 'image' not in request.files:
+        return jsonify({"error": "No image uploaded"}), 400
+
+    try:
+        file = request.files['image']
+        eps_file_path = process_image(file)
+        
+        # File wapis bhejo
+        return send_file(
+            eps_file_path,
+            mimetype='application/postscript',
+            as_attachment=True,
+            download_name='shutterstock_vector.eps'
+        )
+    except Exception as e:
+        return jsonify({"error": str(e)}), 500
+
+@app.route('/')
+def home():
+    return "😈 Devil Vector API is Running inside Docker!"
+
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', port=5000)