Update app.py

app.py

@@ -57,6 +57,17 @@ The prompt we use for every video is "A robotic arm with a gripper and a small c
 """
 
 
+perfo_description = """
+The Table on the right shows the performances of our models running on different nodes. 
+To make the benchmark, we loaded one of our model on every GPUs of the node. We then retrieve an episode of our simulation.  
+For every frame of the episode, we preprocess the image (resize, canny, ...) and process the Canny image on the GPUs.
+We repeated this procedure for different Batch Size (BS).  
+
+We can see that the greater the BS the greater the FPS. By increazing the BS, we make a profit on the parallelization of the GPUs.
+
+"""
+
+
 def create_key(seed=0):
     return jax.random.PRNGKey(seed)
 
@@ -300,8 +311,12 @@ def create_demo(process, max_images=12, default_num_images=4):
                         format="avi",
                         interactive=False)
         
-        
-        
+        with gr.Row():
+            with gr.Column():
+                gr.Markdown(perfo_description)
+            with gr.Column():
+                gr.Image("./perfo_rtx.png",
+                        interactive=False)