Update app.py

app.py

@@ -3,7 +3,7 @@ from PIL import Image
 
 # Single image analysis function (your existing logic)
 def analyze_image(image, min_size, circularity, do_necrosis=True):
-    import Colony_Analyzer_AI2_HF as analyzer
+    import Organoid_Analyzer_AI2_HF as analyzer
     processed_img, picname, excelname = analyzer.main([image, min_size, circularity,do_necrosis])
     return Image.fromarray(processed_img), picname, excelname
 
@@ -12,7 +12,7 @@ def analyze_zstack(images, min_size, circularity, do_necrosis=True):
     # images: list of PIL images
     # Plug in your own z-stack segmentation logic here
     # Example stub: pass images as a list to your analyzer
-    import Colony_Analyzer_AI_zstack2_HF as analyzer
+    import Organoid_Analyzer_AI_zstack2_HF as analyzer
     images = [Image.open(f.name) for f in images]
     processed_img, picname, excelname = analyzer.main([images, min_size, circularity,do_necrosis])
     return Image.fromarray(processed_img), picname, excelname
@@ -24,7 +24,7 @@ with gr.Blocks() as demo:
     do_necrosis_checkbox = gr.Checkbox(label="Enable necrosis detection", value=False)
     image_input_single = gr.Image(type="pil", label="Upload Image", visible=True)
     image_input_multi = gr.File(file_count="multiple", type="filepath", label="Upload Z-Stack Images", visible=False)
-    min_size_input = gr.Number(label="Minimum Colony Size (pixels)", value=1000)
+    min_size_input = gr.Number(label="Minimum Organoid Size (pixels)", value=1000)
     circularity_input = gr.Number(label="Minimum Circularity", value=0.25)
     output_image = gr.Image(type="pil", label="Analyzed Image")
     output_file_img = gr.File(label="Download Image")