Upload folder using huggingface_hub

Aysun.py

@@ -0,0 +1,111 @@
+import gradio as gr
+from PIL import Image, ImageFilter, ImageDraw
+import numpy as np
+import math
+import os
+
+# ========= CONFIG ==========
+STATIC_TARGET_PATH = "/mnt/c/Users/Tahir/Desktop/llm_engineering/176132714935692938.jpg"  # 👈 change this to your fixed target image path
+OUTPUT_DIR = "outputs"
+os.makedirs(OUTPUT_DIR, exist_ok=True)
+# ===========================
+
+# Smooth easing function for animation
+def ease_in_out_cubic(x):
+    return 4 * x**3 if x < 0.5 else 1 - pow(-2 * x + 2, 3) / 2
+
+# Curved transition path
+def curved_path(src_x, src_y, tgt_x, tgt_y, t):
+    x = src_x * (1 - t) + tgt_x * t
+    y = src_y * (1 - t) + tgt_y * t
+
+    dx = tgt_x - src_x
+    dy = tgt_y - src_y
+    length = math.hypot(dx, dy) + 1e-6
+    offset = math.sin(t * math.pi) * length * 0.1  # curvature factor
+    perp_x = -dy / length
+    perp_y = dx / length
+
+    x += perp_x * offset
+    y += perp_y * offset
+    return int(x), int(y)
+
+# Core animation function
+def rearrange_pixels_with_animation(source_img, target_img, frames=60, frame_duration=100):
+    if isinstance(source_img, np.ndarray):
+        source_img = Image.fromarray(source_img)
+    if isinstance(target_img, np.ndarray):
+        target_img = Image.fromarray(target_img)
+
+    target_img = target_img.convert("RGB")
+    source_img = source_img.convert("RGB").resize(target_img.size)
+
+    src_arr = np.array(source_img)
+    tgt_arr = np.array(target_img)
+    height, width = src_arr.shape[:2]
+
+    src_flat = src_arr.reshape(-1, 3)
+    tgt_flat = tgt_arr.reshape(-1, 3)
+
+    src_idx = np.argsort(np.sum(src_flat, axis=1))
+    tgt_idx = np.argsort(np.sum(tgt_flat, axis=1))
+
+    coords = np.array([[y, x] for y in range(height) for x in range(width)])
+
+    frame_list = []
+    for f in range(frames + 1):
+        alpha = ease_in_out_cubic(f / frames)
+        frame_img = Image.new("RGB", (width, height))
+        draw = ImageDraw.Draw(frame_img)
+
+        for i, old_idx in enumerate(src_idx):
+            src_y, src_x = coords[old_idx]
+            tgt_y, tgt_x = coords[tgt_idx[i]]
+            curr_x, curr_y = curved_path(src_x, src_y, tgt_x, tgt_y, alpha)
+
+            if 0 <= curr_x < width and 0 <= curr_y < height:
+                draw.point((curr_x, curr_y), fill=tuple(src_flat[old_idx]))
+
+        frame_img = frame_img.filter(ImageFilter.GaussianBlur(radius=0.2))
+        frame_list.append(frame_img)
+
+    gif_path = os.path.join(OUTPUT_DIR, "pixel_animation.gif")
+    frame_list[0].save(
+        gif_path,
+        format='GIF',
+        save_all=True,
+        append_images=frame_list[1:],
+        duration=frame_duration,
+        loop=0,
+        optimize=True
+    )
+
+    return frame_list[-1], gif_path
+
+# Wrapper function — uses static target image path
+def convert_images_with_animation(source_image):
+    if not os.path.exists(STATIC_TARGET_PATH):
+        raise FileNotFoundError(f"Static target image not found: {STATIC_TARGET_PATH}")
+
+    target_image = Image.open(STATIC_TARGET_PATH)
+    final_img, gif_path = rearrange_pixels_with_animation(source_image, target_image)
+    return final_img, gif_path
+
+# ---------------- Gradio UI ----------------
+with gr.Blocks() as demo:
+    gr.Markdown("## 🎨 Pixel Rearrangement Tool (Static Target Version)")
+
+    source_input = gr.Image(label="Upload Source Image", type="pil")
+    convert_button = gr.Button("Convert & Animate")
+
+    with gr.Row():
+        output_image = gr.Image(label="Converted Image")
+        output_gif = gr.File(label="Animation GIF")
+
+    convert_button.click(
+        fn=convert_images_with_animation,
+        inputs=[source_input],
+        outputs=[output_image, output_gif]
+    )
+
+demo.launch(inbrowser=True, share=True)

README.md

@@ -1,12 +1,6 @@
 ---
 title: Aysun
-emoji: 🐢
-colorFrom: purple
-colorTo: indigo
+app_file: Aysun.py
 sdk: gradio
 sdk_version: 5.49.1
-app_file: app.py
-pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference