Update app.py

app.py

@@ -150,11 +150,11 @@ def run_segmentation(image, model_choice):
 
         # Process image format to RGB
         if len(image_np.shape) == 2:
-            processed_image_np = cv2.cvtColor(region_np, cv2.COLOR_GRAY2RGB)
+            processed_image_np = cv2.cvtColor(image_np, cv2.COLOR_GRAY2RGB)
         elif len(image_np.shape) == 3 and image_np.shape[2] == 4:
             processed_image_np = cv2.cvtColor(image_np, cv2.COLOR_RGBA2RGB)
         else:
-            processed_image_np = region_np
+            processed_image_np = image_np
 
         # Run Cellpose segmentation
         masks, flows, styles = model.eval(processed_image_np, diameter=None, channels=[0, 0])
@@ -321,7 +321,6 @@ with gr.Blocks(
         1. **Upload and Segment**:
             - Upload your microscopy image.
             - Select a Cellpose model (e.g., "Hemocytometer Model" for suspension culture).
-            - Draw a selection region using the Image Editor.
             - Click "Run Segmentation".
 
         2. **Analysis Results**: