create app

app.py

@@ -0,0 +1,46 @@
+import gradio as gr
+import numpy as np
+from PIL import Image
+
+def interpolate_images(img1, img2, num_steps):
+    # Convert images to numpy arrays
+    img1_array = np.array(Image.open(img1).convert('RGB'))
+    img2_array = np.array(Image.open(img2).convert('RGB'))
+    
+    # Ensure both images have the same dimensions
+    min_height = min(img1_array.shape[0], img2_array.shape[0])
+    min_width = min(img1_array.shape[1], img2_array.shape[1])
+    img1_array = img1_array[:min_height, :min_width]
+    img2_array = img2_array[:min_height, :min_width]
+    
+    # Generate interpolation weights
+    weights = np.linspace(0, 1, num_steps)
+    
+    # Perform interpolation
+    interpolated_images = []
+    for weight in weights:
+        interpolated = img1_array * (1 - weight) + img2_array * weight
+        interpolated = interpolated.astype(np.uint8)
+        interpolated_images.append(Image.fromarray(interpolated))
+    
+    return interpolated_images
+
+def interpolate_and_display(img1, img2, num_steps):
+    interpolated_images = interpolate_images(img1, img2, num_steps)
+    return interpolated_images
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=interpolate_and_display,
+    inputs=[
+        gr.Image(type="filepath", label="Image A"),
+        gr.Image(type="filepath", label="Image B"),
+        gr.Slider(minimum=2, maximum=10, step=1, label="Number of interpolation steps")
+    ],
+    outputs=gr.Gallery(label="Interpolated Images"),
+    title="Image Interpolation",
+    description="Upload two images and specify the number of interpolation steps to generate intermediate images."
+)
+
+# Launch the app
+iface.launch(debug=True)