Update app.py

app.py

@@ -67,7 +67,10 @@ flags = {
 for key, val in flags.items():
     clevr_options[key] = val
 
-clevr_model, clevr_diffusion = create_model_and_diffusion_for_clevr(**clevr_options)
+clevr_model, clevr_diffusion = crgr.Markdown(
+        """<p>( <b>Note</b>: For composing CLEVR objects, we recommend using <b><i>x</i></b> in range <b><i>[0.1, 
+        0.9]</i></b> and <b><i>y</i></b> in range <b><i>[0.25, 0.7]</i></b>, since the training dataset labels are in 
+        given ranges.)</p><hr>""")eate_model_and_diffusion_for_clevr(**clevr_options)
 clevr_model.eval()
 if has_cuda:
     clevr_model.convert_to_fp16()
@@ -346,9 +349,15 @@ with gr.Blocks() as demo:
     gr.Markdown(
         """<p style="font-size: 18px;">When composing multiple inputs, please use <b>“|”</b> to separate them </p>""")
     gr.Markdown(
-        """<p>( <b>Note</b>: For composing CLEVR objects, we recommend using <b><i>x</i></b> in range <b><i>[0.1, 
+        """<p>( <b>Clevr Note</b>: For composing CLEVR objects, we recommend using <b><i>x</i></b> in range <b><i>[0.1, 
         0.9]</i></b> and <b><i>y</i></b> in range <b><i>[0.25, 0.7]</i></b>, since the training dataset labels are in 
-        given ranges.)</p><hr>""")
+        given ranges.)</p>""")
+    gr.Markdown(
+        """<p>( <b>Point-E Demo Note</b>: THis demo only shows the point cloud results instead of meshes due to 
+        hardware limitation. For mesh results, check out our code.)</p>""")
+    gr.Markdown(
+        """<p>( <b>Stable Diffusion Note</b>: Stable Diffusion has filter enabled, so it sometimes generates all black 
+        results for possibly improper images.)</p>""")
     with gr.Row():
         with gr.Column():
             gr.Markdown(