Create app.py

app.py

@@ -0,0 +1,36 @@
+import gradio as gr
+import os
+from PIL import Image
+import random
+
+data_folder = "data/"  # Pre-existing images
+existing_images = [os.path.join(data_folder, img) for img in os.listdir(data_folder) if img.endswith(('png', 'jpg', 'jpeg'))]
+
+def process_image(image_option, uploaded_image):
+    """
+    Process the selected image (either uploaded or from data folder)
+    """
+    if image_option == "Upload My Image" and uploaded_image is not None:
+        img = uploaded_image
+        msg = "Uploaded image processed!"
+    else:
+        img_path = random.choice(existing_images)  # Pick a random existing image
+        img = Image.open(img_path)
+        msg = f"Using pre-existing image: {img_path}"
+    
+    return img, msg
+
+with gr.Blocks() as demo:
+    gr.Markdown("## Face Recognition Test Run")
+    
+    image_option = gr.Radio(["Upload My Image", "Use Sample Image"], label="Select an Option")
+    uploaded_image = gr.Image(label="Upload Image (if selected)", type="pil", interactive=True)
+    
+    submit = gr.Button("Process Image")
+    output_image = gr.Image(label="Processed Image")
+    status = gr.Textbox(label="Status")
+    
+    submit.click(process_image, inputs=[image_option, uploaded_image], outputs=[output_image, status])
+    
+if __name__ == "__main__":
+    demo.launch()