Update app.py

app.py

@@ -1,9 +1,118 @@
 import gradio as gr
 import vtracer
 import os
+import pandas as pd
+from io import BytesIO
+from PIL import Image
+import cairosvg
+import cv2
+import numpy as np
+import tempfile
 
-def convert_to_vector(
+def clean_svg(svg_string):
+    """Optional function to clean SVG if needed"""
+    return svg_string
+
+def rasterize_svg(svg_string, width, height, dpi=128, scale=1):
+    """Convert SVG string to PNG image while maintaining aspect ratio"""
+    try:
+        svg_raster_bytes = cairosvg.svg2png(
+            bytestring=svg_string,
+            background_color='white',
+            output_width=width,
+            output_height=height,
+            dpi=dpi,
+            scale=scale)
+        svg_raster = Image.open(BytesIO(svg_raster_bytes))
+    except:
+        try:
+            svg = clean_svg(svg_string)
+            svg_raster_bytes = cairosvg.svg2png(
+                bytestring=svg,
+                background_color='white',
+                output_width=width,
+                output_height=height,
+                dpi=dpi,
+                scale=scale)
+            svg_raster = Image.open(BytesIO(svg_raster_bytes))
+        except:
+            svg_raster = Image.new('RGB', (width, height), color='white')
+    return svg_raster
+
+def create_video_from_frames(frame_files, output_path, duration_seconds, width, height):
+    """Create video from sequence of frames with specified duration"""
+    # Calculate frame rate based on desired duration
+    num_frames = len(frame_files)
+    fps = max(1, num_frames / duration_seconds)  # Ensure at least 1 fps
+
+    # Initialize video writer
+    fourcc = cv2.VideoWriter_fourcc(*'mp4v')
+    video = cv2.VideoWriter(output_path, fourcc, fps, (width, height))
+
+    # Read each frame and write to video
+    for frame_file in frame_files:
+        # Read image with PIL and convert to OpenCV format
+        pil_img = Image.open(frame_file)
+        cv_img = cv2.cvtColor(np.array(pil_img), cv2.COLOR_RGB2BGR)
+        video.write(cv_img)
+
+    # Add last frame to fill remaining time if needed
+    if num_frames > 0:
+        remaining_frames = max(0, int(fps * duration_seconds) - num_frames)
+        for _ in range(remaining_frames):
+            video.write(cv_img)
+
+    video.release()
+
+def process_svg_to_video(input_svg_path, original_width, original_height, video_duration_seconds=10, chunk_size=None):
+    """Process SVG file and create a video with specified duration using exact row slicing"""
+    # Read SVG file as a table to maintain exact row slicing logic
+    df = pd.read_table(input_svg_path, header=None)
+    df_head = df.head(3)
+    df_tail = df.tail(1)
+    df_middle = df.iloc[3:-1, :]
+    
+    # Use the original image dimensions
+    width, height = original_width, original_height
+    
+    # Calculate chunk size if not specified
+    total_rows = len(df_middle)
+    if chunk_size is None:
+        chunk_size = max(1, total_rows // 30)  # Default to ~30 steps
+    
+    # Create a temporary directory for images
+    temp_dir = tempfile.mkdtemp()
+    frame_files = []
+    
+    # Process each chunk and save as image
+    for i in range(0, total_rows, chunk_size):
+        current_chunk = df_middle.iloc[:i+chunk_size]
+        
+        # Combine with head and tail
+        combined_df = pd.concat([df_head, current_chunk, df_tail])
+        svg_content = "\n".join(combined_df[0].astype(str).values.tolist())
+        
+        # Convert to image using original dimensions
+        img = rasterize_svg(svg_content, width, height)
+        img_filename = os.path.join(temp_dir, f"frame_{i:04d}.png")
+        img.save(img_filename)
+        frame_files.append(img_filename)
+    
+    # Create output video path
+    output_video_path = os.path.join(temp_dir, "output_video.mp4")
+    
+    # Create video from frames
+    create_video_from_frames(frame_files, output_video_path, video_duration_seconds, width, height)
+    
+    # Clean up temporary files (except the video)
+    for file in frame_files:
+        os.remove(file)
+    
+    return output_video_path, temp_dir
+
+def convert_to_vector_and_video(
     image, 
+    video_duration=10,
     colormode="color", 
     hierarchical="stacked", 
     mode="spline", 
@@ -16,16 +125,21 @@ def convert_to_vector(
     splice_threshold=45, 
     path_precision=3
 ):
-    input_path = "temp_input.jpg"
-    output_path = "svg_output.svg"
-
+    # Create temporary directory
+    temp_dir = tempfile.mkdtemp()
+    input_path = os.path.join(temp_dir, "temp_input.jpg")
+    output_svg_path = os.path.join(temp_dir, "svg_output.svg")
+    
     # Save the input image to a temporary file
     image.save(input_path)
-
+    
+    # Get original dimensions from the uploaded image
+    original_width, original_height = image.size
+    
     # Convert the image to SVG using VTracer
     vtracer.convert_image_to_svg_py(
         input_path,
-        output_path,
+        output_svg_path,
         colormode=colormode,
         hierarchical=hierarchical,
         mode=mode,
@@ -38,24 +152,61 @@ def convert_to_vector(
         splice_threshold=int(splice_threshold),
         path_precision=int(path_precision)
     )
+    
+    # Process SVG to create video using the original dimensions
+    video_path, video_temp_dir = process_svg_to_video(
+        output_svg_path,
+        original_width,
+        original_height,
+        video_duration_seconds=video_duration
+    )
+    
     # Read the SVG output
-    with open(output_path, "r") as f:
+    with open(output_svg_path, "r") as f:
         svg_content = f.read()
-
-    # Return the SVG file path instead of content
-    return gr.HTML(f'<svg viewBox="0 0 {image.width} {image.height}">{svg_content}</svg>'), output_path
-    # return output_path,output_path
+    
+    # Return the SVG preview, SVG file, and video file
+    return (
+        gr.HTML(f'<svg viewBox="0 0 {original_width} {original_height}">{svg_content}</svg>'),
+        output_svg_path,
+        video_path
+    )
 
 def handle_color_mode(value):
-    # You can change this to display the selected value without any prefix
     return value
 
+def clear_inputs():
+    return (
+        gr.Image(value=None), 
+        gr.Slider(value=10),
+        gr.Radio(value="color"), 
+        gr.Radio(value="stacked"), 
+        gr.Radio(value="spline"), 
+        gr.Slider(value=4), 
+        gr.Slider(value=6), 
+        gr.Slider(value=16), 
+        gr.Slider(value=60), 
+        gr.Slider(value=4.0), 
+        gr.Slider(value=10), 
+        gr.Slider(value=45), 
+        gr.Slider(value=3)
+    )
 
-examples = [
-    "examples/01.jpg",
-    "examples/02.jpg",
-    "examples/03.jpg",
-]
+def update_interactivity_and_visibility(colormode, color_precision_value, layer_difference_value):
+    is_color_mode = colormode == "color"
+    return (
+        gr.update(interactive=is_color_mode),
+        gr.update(interactive=is_color_mode),
+        gr.update(visible=is_color_mode)
+    )
+
+def update_interactivity_and_visibility_for_mode(mode):
+    is_spline_mode = mode == "spline"
+    return (
+        gr.update(interactive=is_spline_mode),
+        gr.update(interactive=is_spline_mode),
+        gr.update(interactive=is_spline_mode)
+    )
 
 css = """
 #col-container {
@@ -73,18 +224,26 @@ css = """
 }
 """
 
+examples = [
+    "examples/01.jpg",
+    "examples/02.jpg",
+    "examples/03.jpg",
+]
+
 # Define the Gradio interface
 with gr.Blocks(css=css) as app:
     with gr.Column(elem_id="col-container"):
         gr.HTML("""
-                <div style="text-align: center;">
-                    <h2>Image to Vector Converter ⚡</h2>
-                    <p>Converts raster images (JPG, PNG, WEBP) to vector graphics (SVG).</p>
-                </div>
-            """)
+            <div style="text-align: center;">
+                <h2>Image to Vector Video Converter ⚡</h2>
+                <p>Converts raster images to vector graphics and creates progressive rendering videos.</p>
+            </div>
+        """)
         with gr.Row():
             with gr.Column():
                 image_input = gr.Image(type="pil", label="Upload Image")
+                video_duration = gr.Slider(1, 60, value=10, step=1, label="Video Duration (seconds)")
+                
                 with gr.Accordion("Advanced Settings", open=False):
                     with gr.Accordion("Clustering", open=False):
                         colormode = gr.Radio([("COLOR","color"),("B/W", "binary")], value="color", label="Color Mode", show_label=False)
@@ -100,67 +259,47 @@ with gr.Blocks(css=css) as app:
                         max_iterations = gr.Slider(1, 20, value=10, step=1, label="Max Iterations", visible=False)
                         path_precision = gr.Slider(1, 10, value=3, step=1, label="Path Precision", visible=False)
                         output_text = gr.Textbox(label="Selected Mode", visible=False)
+                
                 with gr.Row():
                     clear_button = gr.Button("Clear")
-                    convert_button = gr.Button("✨ Convert to SVG", variant='primary', elem_classes=["generate-btn"])
+                    convert_button = gr.Button("✨ Convert to Video", variant='primary', elem_classes=["generate-btn"])
 
             with gr.Column():
-                html = gr.HTML(label="SVG Output") # container=True, show_label=True
+                html = gr.HTML(label="SVG Preview")
                 svg_output = gr.File(label="Download SVG")
+                video_output = gr.Video(label="Rendering Video")
         
         gr.Examples(
-            examples = examples,
-            fn = convert_to_vector,
-            inputs = [image_input],
-            outputs = [html,svg_output],
+            examples=examples,
+            fn=convert_to_vector_and_video,
+            inputs=[image_input],
+            outputs=[html, svg_output, video_output],
             cache_examples=False,
-            run_on_click = True
+            run_on_click=True
         )
-    # Store default values for restoration
-    colormode.change(handle_color_mode, inputs=colormode,outputs=output_text)
-    hierarchical.change(handle_color_mode, inputs=hierarchical,outputs=output_text)
-    mode.change(handle_color_mode, inputs=mode,outputs=output_text)
-    default_values = {
-        "color_precision": 6,
-        "layer_difference": 16
-    }
-
-    def clear_inputs():
-        return gr.Image(value=None), gr.Radio(value="color"), gr.Radio(value="stacked"), gr.Radio(value="spline"), gr.Slider(value=4), gr.Slider(value=6), gr.Slider(value=16), gr.Slider(value=60), gr.Slider(value=4.0), gr.Slider(value=10), gr.Slider(value=45), gr.Slider(value=3)
-
-
-    def update_interactivity_and_visibility(colormode, color_precision_value, layer_difference_value):
-        is_color_mode = colormode == "color"
-        return (
-            gr.update(interactive=is_color_mode),
-            gr.update(interactive=is_color_mode),
-            gr.update(visible=is_color_mode)  # Show/Hide Hierarchical Mode
-        )
-
+    
+    # Event handlers
+    colormode.change(handle_color_mode, inputs=colormode, outputs=output_text)
+    hierarchical.change(handle_color_mode, inputs=hierarchical, outputs=output_text)
+    mode.change(handle_color_mode, inputs=mode, outputs=output_text)
+    
     colormode.change(
         update_interactivity_and_visibility,
         inputs=[colormode, color_precision, layer_difference],
         outputs=[color_precision, layer_difference, hierarchical]
     )
 
-    def update_interactivity_and_visibility_for_mode(mode):
-        is_spline_mode = mode == "spline"
-        return (
-            gr.update(interactive=is_spline_mode),
-            gr.update(interactive=is_spline_mode),
-            gr.update(interactive=is_spline_mode)
-        )
-
     mode.change(
         update_interactivity_and_visibility_for_mode,
         inputs=[mode],
-        outputs=[corner_threshold,length_threshold,splice_threshold]
+        outputs=[corner_threshold, length_threshold, splice_threshold]
     )
 
     clear_button.click(
         clear_inputs,
         outputs=[
             image_input,
+            video_duration,
             colormode,
             hierarchical,
             mode,
@@ -176,9 +315,10 @@ with gr.Blocks(css=css) as app:
     )
 
     convert_button.click(
-        convert_to_vector,
+        convert_to_vector_and_video,
         inputs=[
             image_input,
+            video_duration,
             colormode,
             hierarchical,
             mode,
@@ -191,9 +331,9 @@ with gr.Blocks(css=css) as app:
             splice_threshold,
             path_precision
         ],
-        outputs=[html,svg_output]
+        outputs=[html, svg_output, video_output]
     )
 
 # Launch the app
-#app.launch(debug=True)
-app.launch(share=True)
+if __name__ == "__main__":
+    app.launch(share=True)