Update app.py

app.py

@@ -431,72 +431,8 @@ with gr.Blocks(
             inputs=[blue_threshold1, masks_state, image_state],
             outputs=[viability_overlay1, live_count_output1, dead_count_output1, viability_percent_output1, viability_info1]
         )
-
-    with gr.Tab("Manual Coordinates"):
-        gr.Markdown("### Upload image and run segmentation")
                 
-        with gr.Row():
-            with gr.Column():
-                image_input = gr.Image(type="pil", label="Microscopy Image")
-                model_dropdown2 = gr.Dropdown(
-                    choices=list(MODEL_OPTIONS.keys()),
-                    label="Select Model",
-                    value="Hemocytometer Model"
-                )
-                coord_input = gr.Textbox(
-                    label="Crop Coordinates (optional)",
-                    placeholder="e.g., 100,100,400,400",
-                    info="Format: x_min,y_min,x_max,y_max"
-                )
-                segment_btn2 = gr.Button("🔬 Run Segmentation", variant="primary", size="lg")
-                            
-            with gr.Column():
-                cell_count_output2 = gr.Number(label="Total Cells Detected", precision=0)
-                confluency_output2 = gr.Number(label="Confluency (%)", precision=1)
-                overlay_output2 = gr.Image(type="pil", label="Segmentation Result")
-                info_output2 = gr.Textbox(label="Processing Info", lines=4)
-                
-        # Viability Assessment Section
-        with gr.Group(visible=False) as viability_section2:
-            gr.Markdown("### Viability Assessment (Trypan Blue)")
-            gr.Markdown("Adjust the threshold to classify cells as live (green) or dead (red).")
-                        
-            with gr.Row():
-                with gr.Column():
-                    blue_threshold2 = gr.Slider(
-                        minimum=0,
-                        maximum=100,
-                        value=25,
-                        step=1,
-                        label="Blue Threshold (%)",
-                        info="Higher values = more selective for blue cells"
-                    )
-                                    
-                with gr.Column():
-                    live_count_output2 = gr.Number(label="Live Cells (Green)", precision=0)
-                    dead_count_output2 = gr.Number(label="Dead Cells (Red)", precision=0)
-                        
-            viability_overlay2 = gr.Image(type="pil", label="Viability Assessment (Green=Live, Red=Dead)")
-            viability_percent_output2 = gr.Number(label="Viability (%)", precision=1)
-            viability_info2 = gr.Textbox(label="Analysis Results", lines=5)
-                
-        # Event handlers
-        segment_btn2.click(
-            fn=run_segmentation_manual,
-            inputs=[image_input, model_dropdown2, coord_input],
-            outputs=[cell_count_output2, overlay_output2, info_output2, viability_section2, masks_state, image_state, confluency_output2]
-        ).then(  # Chain the initial viability assessment after segmentation
-            fn=update_viability_realtime,
-            inputs=[blue_threshold2, masks_state, image_state], 
-            outputs=[viability_overlay2, live_count_output2, dead_count_output2, viability_percent_output2, viability_info2]
-        )
-                
-        # Slider changes update viability in real-time
-        blue_threshold2.change(
-            fn=update_viability_realtime,
-            inputs=[blue_threshold2, masks_state, image_state],
-            outputs=[viability_overlay2, live_count_output2, dead_count_output2, viability_percent_output2, viability_info2]
-        )
+        
 
     # Instructions
     with gr.Accordion("Instructions", open=False):