Update app.py

app.py

@@ -67,10 +67,7 @@ flags = {
 for key, val in flags.items():
     clevr_options[key] = val
 
-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, clevr_diffusion = create_model_and_diffusion_for_clevr(**clevr_options)
 clevr_model.eval()
 if has_cuda:
     clevr_model.convert_to_fp16()
@@ -157,7 +154,10 @@ def compose_pointe(prompt, weights, version):
             render.scene.add_geometry('mesh', mesh, mat)
 
         def generate_images():
-            for i in range(64):
+            for i in range(64):gr.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>""")
                 # Rotation
                 R = mesh.get_rotation_matrix_from_xyz((0, 0, np.pi / 32))
                 mesh.rotate(R, center=(0, 0, 0))