Update app.py

app.py

@@ -3,9 +3,9 @@ import cv2
 import numpy as np
 
 # Define a function that performs the image operation with adjustable blending weight
-def perform_image_operation(image1, image2, image3, image4, image5, image6, image7, image8, blending_weight=0.5):
+def perform_image_operation(images, blending_weight=0.5):
     # Convert the Gradio input images to NumPy arrays
-    images = [image1, image2, image3, image4, image5, image6, image7, image8]
+    images = [np.array(img) for img in images]
 
     # Perform the image operation (e.g., blending)
     result_image = images[0].copy()
@@ -16,11 +16,19 @@ def perform_image_operation(image1, image2, image3, image4, image5, image6, imag
     result_pil_image = cv2.cvtColor(result_image, cv2.COLOR_BGR2RGB)
     return result_pil_image
 
-# Define the Gradio interface with an adjustable blending weight slider
+# Define the Gradio interface with multiple file uploads and an adjustable blending weight slider
 iface = gr.Interface(
     fn=perform_image_operation,
     inputs=[
-        gr.File(file_count='multiple')
+        gr.File(type="image", label="Image 1", multiple=True),
+        gr.File(type="image", label="Image 2", multiple=True),
+        gr.File(type="image", label="Image 3", multiple=True),
+        gr.File(type="image", label="Image 4", multiple=True),
+        gr.File(type="image", label="Image 5", multiple=True),
+        gr.File(type="image", label="Image 6", multiple=True),
+        gr.File(type="image", label="Image 7", multiple=True),
+        gr.File(type="image", label="Image 8", multiple=True),
+        gr.Slider(minimum=0, maximum=1, default=0.5, label="Blending Weight"),
     ],
     outputs=gr.outputs.Image(type="pil", label="Blended Image")
 )