Update app.py

app.py

@@ -2,10 +2,18 @@ import gradio as gr
 
 iface = gr.Interface.load("models/teo-sanchez/en_ner_prompting",
                           title = 'Prompt specifier recognizer by Selas.ai\n ![https://www.selas.ai](https://www.selas.ai/assets/logo-selas-dark.61f4b5c4.svg)',
-                          description="Recognize the type of specifiers within a prompt for text-to-image generation",
+                          description='''<div align="center"> 
+                          <a href="https://www.selas.ai">
+                          <img src="https://www.selas.ai/assets/logo-selas-dark.61f4b5c4.svg" alt="Logo of selas.ai", >
+                          </a>
+                          Lightweight model that recognize the type of specifiers within a prompt for text-to-image generation.
+                          </div>''',
                           examples=[["Hyperrealistic dslr film still of a cute calico cat, stunning 8 k octane comprehensive 3 d render, inspired by istvan sandorfi & greg rutkowski & unreal engine, perfect symmetry, dim volumetric cinematic lighting, extremely hyper - detailed, incredibly real lifelike attributes & flesh texture, intricate, masterpiece, artstation, stunning"],
                                     ["Quetzalcoatl in an epic battle with garuda, fantasy, stained glass, d & d, intricate, elegant, highly detailed, digital painting, artstation, concept art, matte, sharp focus, illustration, art by john collier and albert aublet and krenz cushart and artem demura and alphonse mucha"]],
                           live = True,
+                          article = '''
+                          <img src="https://www.selas.ai/assets/logo-selas-dark.61f4b5c4.svg" alt="Specifier taxonomy", >
+                          '''
                           )
 iface.input_components[0].label = "Copy-paste an AI prompt you'd like to analyze"
 iface.output_components[0].label = "Entity recognized in the prompt"