add example image

app.py

@@ -1,6 +1,7 @@
 import gradio as gr
 import numpy as np
 import pandas as pd
+import os
 
 # our own helper tools
 import clustering
@@ -17,7 +18,7 @@ from tensorflow import keras
 # --- Constants and Model Loading ---
 IMAGE_PATH = "classified_damage_sites.png"
 CSV_PATH = "classified_damage_sites.csv"
-
+DEFAULT_IMAGE_PATH = "X4-Aligned_cropped_upperleft_small.png" 
 
 model1_windowsize = [250,250]
 #model1_threshold = 0.7
@@ -150,7 +151,9 @@ with gr.Blocks() as app:
     #image_input = gr.Image(value='data/X4-Aligned_cropped_upperleft_small.png', label='Example SEM Image (DP800 steel)',)
     with gr.Row():
         with gr.Column(scale=1):
-            image_input = gr.Image(type="pil", label="Upload SEM Image")
+            #image_input = gr.Image(type="pil", label="Upload SEM Image")
+            image_input = gr.Image(type="pil", label="Upload SEM Image", 
+                                   value=DEFAULT_IMAGE_PATH if os.path.exists(DEFAULT_IMAGE_PATH) else None)
             cluster_threshold_input = gr.Number(value=20, label="Image Binarization Threshold")
             model1_threshold_input = gr.Number(value=0.7, label="Inclusion Model Certainty (0-1)")
             model2_threshold_input = gr.Number(value=0.5, label="Damage Model Certainty (0-1)")