Update app.py

app.py

@@ -8,28 +8,41 @@ import os
 app = Flask(__name__)
 CORS(app, resources={r"/vectorize": {"origins": "*"}})
 
-def convert_to_vector(image):
+def convert_to_vector(
+    image,
+    colormode="color",
+    hierarchical="stacked",
+    mode="spline",
+    filter_speckle=4,
+    color_precision=6,
+    layer_difference=16,
+    corner_threshold=60,
+    length_threshold=4.0,
+    max_iterations=10,
+    splice_threshold=45,
+    path_precision=3
+):
     input_path = "temp_input.jpg"
     output_path = "temp_output.svg"
 
     # Save the input image to a temporary file
     image.save(input_path)
 
-    # Convert the image to SVG using vtracer with default settings
+    # Convert the image to SVG using vtracer
     vtracer.convert_image_to_svg_py(
         input_path,
         output_path,
-        colormode="color",
-        hierarchical="stacked",
-        mode="spline",
-        filter_speckle=4,
-        color_precision=6,
-        layer_difference=16,
-        corner_threshold=60,
-        length_threshold=4.0,
-        max_iterations=10,
-        splice_threshold=45,
-        path_precision=3
+        colormode=colormode,
+        hierarchical=hierarchical,
+        mode=mode,
+        filter_speckle=int(filter_speckle),
+        color_precision=int(color_precision),
+        layer_difference=int(layer_difference),
+        corner_threshold=int(corner_threshold),
+        length_threshold=float(length_threshold),
+        max_iterations=int(max_iterations),
+        splice_threshold=int(splice_threshold),
+        path_precision=int(path_precision)
     )
 
     # Read the SVG content
@@ -55,7 +68,7 @@ def vectorize_endpoint():
         else:
             return jsonify({'error': 'No image data provided'}), 400
 
-        # Process the image to SVG
+        # Process the image to SVG with default settings
         svg_content = convert_to_vector(image)
 
         # Return the SVG as a response