Update app.py

app.py

@@ -146,9 +146,8 @@ examples = [
     ],
 ]
 
-with block as demo:
-    gr.Textbox(
-        """
+wwith block as demo:
+    gr.Markdown("""
        
 
 [![Framework: PyTorch](https://img.shields.io/badge/Framework-PyTorch-orange.svg)](https://pytorch.org/) [![Huggingface space](https://img.shields.io/badge/🤗-Huggingface-yello.svg)](https://huggingface.co/sberbank-ai/Kandinsky_2.0)
@@ -168,6 +167,7 @@ These encoders and multilingual training datasets unveil the real multilingual t
 In terms of diffusion architecture Kandinsky 2.0 implements UNet with 1.2B parameters.
 
 **Kandinsky 2.0** architecture overview:
+![](NatallE.png)
              
         """
     )