raveblender.py

app.py

@@ -0,0 +1,59 @@
+import gradio as gr
+from PIL import Image, ImageOps
+import numpy as np
+import os
+import uuid
+
+# Ensure there's a directory for outputs
+os.makedirs("outputs", exist_ok=True)
+
+def make_square(img, size=3000, fill_color=(0, 0, 0)):
+    x, y = img.size
+    scale = size / max(x, y)
+    new_size = (int(x * scale), int(y * scale))
+    # Replace deprecated ANTIALIAS with modern equivalent
+    img = img.resize(new_size, Image.Resampling.LANCZOS)
+    new_img = Image.new("RGB", (size, size), fill_color)
+    new_img.paste(img, ((size - new_size[0]) // 2, (size - new_size[1]) // 2))
+    return new_img
+
+def blend_images(images):
+    if len(images) < 2:
+        return "Upload at least two images.", None
+    
+    try:
+        # Add error handling for image processing
+        processed = []
+        for img in images:
+            try:
+                processed.append(make_square(Image.open(img)))
+            except Exception as e:
+                return f"Error processing image: {str(e)}", None
+                
+        base = np.array(processed[0]).astype(np.float32)
+
+        for img in processed[1:]:
+            base = (base + np.array(img).astype(np.float32)) / 2
+
+        final = Image.fromarray(np.uint8(base))
+
+        # Save to file
+        output_path = f"outputs/amalgam_{uuid.uuid4().hex[:8]}.png"
+        final.save(output_path)
+
+        return final, output_path
+    except Exception as e:
+        return f"Error during blending: {str(e)}", None
+
+demo = gr.Interface(
+    fn=blend_images,
+    inputs=gr.File(file_types=["image"], file_count="multiple", label="Upload 2–5 stills"),
+    outputs=[
+        gr.Image(label="Blended Image"),
+        gr.File(label="Download Image")
+    ],
+    title="Amalgamator",
+    description="Upload up to 5 stills. Outputs a 3000x3000 blended image preserving the aesthetic. Save it as PNG below."
+)
+
+demo.launch()