Update app.py

app.py

@@ -140,7 +140,7 @@ def analyze_report(file):
 
     return report_summary
 
-# Gradio Interface with enhanced UI
+# Gradio Interface with enhanced UI using Tabs
 def create_interface():
     with gr.Blocks() as demo:
         custom_css = """
@@ -157,51 +157,55 @@ def create_interface():
         gr.Markdown("<h1 class='title'>RadiologyScan AI</h1>")
         gr.Markdown("<p style='text-align: center; color: #666;'>AI-powered analysis for X-rays and patient reports</p>")
         
-        with gr.Row():
-            with gr.Column(scale=1):
-                xray_input = gr.Image(label="Upload X-ray", type="pil", elem_id="xray-input")
-                clear_xray_button = gr.Button("Clear X-ray", elem_classes="gradio-button")
-            with gr.Column(scale=1):
-                report_input = gr.File(label="Upload Patient Report (PDF)", file_count="single", elem_id="report-input")
-        
-        with gr.Row():
-            # Grouping the Analyze and Clear buttons in the same row for Report
-            report_button = gr.Button("Analyze Report", elem_classes="gradio-button")
-            clear_report_button = gr.Button("Clear Report", elem_classes="gradio-button")
-        
-        with gr.Row():
-            predict_button = gr.Button("Analyze X-ray", elem_classes="gradio-button")
-        
-        with gr.Column():
-            xray_output = gr.HTML(label="X-ray Diagnosis Summary", elem_classes="result-box")
-            xray_result = gr.HTML(label="Detailed X-ray Results", elem_classes="result-box")
-            additional_feedback = gr.HTML(label="Additional Feedback", elem_classes="result-box")
-            report_output = gr.Textbox(label="Report Summary", interactive=False, elem_classes="result-box")
-
-        predict_button.click(
-            fn=predict_xray,
-            inputs=xray_input,
-            outputs=[xray_output, xray_result, additional_feedback]
-        )
-        report_button.click(
-            fn=analyze_report,
-            inputs=report_input,
-            outputs=report_output)
-        
-        # Clear buttons functionality
-        clear_xray_button.click(
-            fn=lambda: None,  # Reset the x-ray image input
-            inputs=[],
-            outputs=[xray_input]
-        )
-        clear_report_button.click(
-            fn=lambda: None,  # Reset the report file input
-            inputs=[],
-            outputs=[report_input]
-        )
-
-    return demo
-
-# Launch the interface and save model after training (to be implemented by user)
+        with gr.TabbedInterface() as tabs:
+            with gr.Tab("X-ray Analysis"):
+                with gr.Row():
+                    xray_input = gr.Image(label="Upload X-ray", type="pil", elem_id="xray-input")
+                    clear_xray_button = gr.Button("Clear X-ray", elem_classes="gradio-button")
+                with gr.Row():
+                    predict_button = gr.Button("Analyze X-ray", elem_classes="gradio-button")
+                with gr.Column():
+                    xray_output = gr.HTML(label="X-ray Diagnosis Summary", elem_classes="result-box")
+                    xray_result = gr.HTML(label="Detailed X-ray Results", elem_classes="result-box")
+                    additional_feedback = gr.HTML(label="Additional Feedback", elem_classes="result-box")
+                    
+                predict_button.click(
+                    fn=predict_xray,
+                    inputs=xray_input,
+                    outputs=[xray_output, xray_result, additional_feedback]
+                )
+                
+                # Clear X-ray button functionality
+                clear_xray_button.click(
+                    fn=lambda: None,  # Reset the x-ray image input
+                    inputs=[],
+                    outputs=[xray_input]
+                )
+            
+            with gr.Tab("Report Analysis"):
+                with gr.Row():
+                    report_input = gr.File(label="Upload Patient Report (PDF)", file_count="single", elem_id="report-input")
+                    clear_report_button = gr.Button("Clear Report", elem_classes="gradio-button")
+                with gr.Row():
+                    report_button = gr.Button("Analyze Report", elem_classes="gradio-button")
+                with gr.Column():
+                    report_output = gr.Textbox(label="Report Summary", interactive=False, elem_classes="result-box")
+
+                report_button.click(
+                    fn=analyze_report,
+                    inputs=report_input,
+                    outputs=report_output
+                )
+                
+                # Clear Report button functionality
+                clear_report_button.click(
+                    fn=lambda: None,  # Reset the report file input
+                    inputs=[],
+                    outputs=[report_input]
+                )
+
+        return demo
+
+# Launch the interface
 demo = create_interface()
 demo.launch(share=True)