new app

app.py

@@ -0,0 +1,35 @@
+import gradio as gr
+import cv2
+import numpy as np
+from stitching import Stitcher
+from PIL import Image
+
+# Function to stitch uploaded images
+def stitch_images(images):
+    stitcher = Stitcher()
+    panorama = stitcher.stitch(images)  # Stitch the images
+    
+    # Convert the result to a PIL image
+    pil_image = Image.fromarray(cv2.cvtColor(panorama, cv2.COLOR_BGR2RGB))
+    
+    # Save the image in JPG format
+    pil_image.save("stitched_image.jpg", "JPEG")
+    
+    # Return the stitched image
+    return pil_image, "stitched_image.jpg"  # Return the image and the file path
+
+# Create Gradio interface with button
+with gr.Blocks() as interface:
+    gr.Markdown("<h1 style='color: #2196F3; text-align: center;'>Image Stitcher 🧵</h1>")  # Heading with a new color
+    gr.Markdown("<h3 style='color: #2196F3; text-align: center;'>=== Upload the images you want to stitch ===</h3>")  # Subheading
+    
+    image_upload = gr.Files(type="filepath", label="Upload Images")  # File input for images
+    stitch_button = gr.Button("Stitch", variant="primary")  # Button with color
+    stitched_image = gr.Image(type="pil", label="Stitched Image")  # Display stitched image
+    download_button = gr.File(label="Download Stitched Image")  # Button to download the image
+
+    # Define button interaction
+    stitch_button.click(stitch_images, inputs=image_upload, outputs=[stitched_image, download_button])
+
+# Launch the interface
+interface.launch()