Update app.py

app.py

@@ -27,6 +27,16 @@ def display_images(percentage_idx, complexity_idx):
     # Return the loaded images
     return raw_image, embeddings_image
 
+# Define the beam prediction function
+def beam_prediction(input_data):
+    # Add your beam prediction logic here
+    return {"Prediction": "Beam X", "Confidence": "95%"}
+
+# Define the LoS/NLoS classification function
+def los_nlos_classification(input_data):
+    # Add your LoS/NLoS classification logic here
+    return {"Classification": "LoS", "Confidence": "98%"}
+
 # Define the Gradio interface
 with gr.Blocks(css="""
     .vertical-slider input[type=range] {
@@ -41,29 +51,47 @@ with gr.Blocks(css="""
         text-align: center;
     }
 """) as demo:
-    gr.Markdown("# Raw vs. Embeddings Inference Results")
-    gr.Markdown("Use the sliders to adjust the percentage of data for training and task complexity.")
+    
+    gr.Markdown("# Wireless Model Tasks")
+    
+    # Tabs for Beam Prediction and LoS/NLoS Classification
+    with gr.Tab("Beam Prediction Task"):
+        gr.Markdown("### Beam Prediction Task")
+        beam_input = gr.Textbox(label="Enter Input Data for Beam Prediction", placeholder="Enter data here...")
+        beam_button = gr.Button("Predict Beam")
+        beam_output = gr.JSON(label="Beam Prediction Result")
+        beam_button.click(beam_prediction, inputs=beam_input, outputs=beam_output)
+    
+    with gr.Tab("LoS/NLoS Classification Task"):
+        gr.Markdown("### LoS/NLoS Classification Task")
+        los_input = gr.Textbox(label="Enter Input Data for LoS/NLoS Classification", placeholder="Enter data here...")
+        los_button = gr.Button("Classify")
+        los_output = gr.JSON(label="LoS/NLoS Classification Result")
+        los_button.click(los_nlos_classification, inputs=los_input, outputs=los_output)
+    
+    with gr.Tab("Raw vs. Embeddings Inference Results"):
+        gr.Markdown("Use the sliders to adjust the percentage of data for training and task complexity.")
 
-    # Layout for vertical side-by-side sliders (using CSS to rotate sliders)
-    with gr.Row():
-        # Column for percentage slider
-        with gr.Column(elem_id="slider-container"):
-            gr.Markdown("Percentage of Data for Training")
-            percentage_slider = gr.Slider(minimum=0, maximum=4, step=1, value=0, interactive=True, elem_id="vertical-slider")
+        # Layout for vertical side-by-side sliders (using CSS to rotate sliders)
+        with gr.Row():
+            # Column for percentage slider
+            with gr.Column(elem_id="slider-container"):
+                gr.Markdown("Percentage of Data for Training")
+                percentage_slider = gr.Slider(minimum=0, maximum=4, step=1, value=0, interactive=True, elem_id="vertical-slider")
 
-        # Column for complexity slider
-        with gr.Column(elem_id="slider-container"):
-            gr.Markdown("Task Complexity")
-            complexity_slider = gr.Slider(minimum=0, maximum=1, step=1, value=0, interactive=True, elem_id="vertical-slider")
+            # Column for complexity slider
+            with gr.Column(elem_id="slider-container"):
+                gr.Markdown("Task Complexity")
+                complexity_slider = gr.Slider(minimum=0, maximum=1, step=1, value=0, interactive=True, elem_id="vertical-slider")
 
-    # Outputs (display the images side by side and set a smaller size for the images)
-    with gr.Row():
-        raw_img = gr.Image(label="Raw Channels", type="pil", width=300, height=300, interactive=False)  # Smaller image size
-        embeddings_img = gr.Image(label="Embeddings", type="pil", width=300, height=300, interactive=False)  # Smaller image size
-    
-    # Trigger image updates when sliders change
-    percentage_slider.change(fn=display_images, inputs=[percentage_slider, complexity_slider], outputs=[raw_img, embeddings_img])
-    complexity_slider.change(fn=display_images, inputs=[percentage_slider, complexity_slider], outputs=[raw_img, embeddings_img])
+        # Outputs (display the images side by side and set a smaller size for the images)
+        with gr.Row():
+            raw_img = gr.Image(label="Raw Channels", type="pil", width=300, height=300, interactive=False)  # Smaller image size
+            embeddings_img = gr.Image(label="Embeddings", type="pil", width=300, height=300, interactive=False)  # Smaller image size
+
+        # Trigger image updates when sliders change
+        percentage_slider.change(fn=display_images, inputs=[percentage_slider, complexity_slider], outputs=[raw_img, embeddings_img])
+        complexity_slider.change(fn=display_images, inputs=[percentage_slider, complexity_slider], outputs=[raw_img, embeddings_img])
 
 # Launch the app
 if __name__ == "__main__":