Update app.py

app.py

@@ -13,7 +13,6 @@ cfg = OmegaConf.create({
     'corpus_keys': corpus_keys,
     'api_key': str(os.environ['api_key']),
     'title': os.environ['title'],
-    'description': os.environ['description'],
     'source_data_desc': os.environ['source_data_desc'],
     'streaming': isTrue(os.environ.get('streaming', False)),
     'prompt_name': os.environ.get('prompt_name', None),
@@ -37,19 +36,7 @@ def respond(message, history):
         response = vq.submit_query(message)
         yield response
 
-
-# cfg.description = f'''
-#                 <table>
-#                   <tr>
-#                     <td style="width: 33%; vertical-align: top;"> <img src="https://github.com/david-oplatka/chatbot-streamlit/blob/main/Vectara-logo.png?raw=true"> </td>
-#                     <td style="width: 34%; vertical-align: middle;"> <h1>{cfg.title}</h1> </td>
-#                     <td style="width: 33%; vertical-align: bottom; text-align: left"> This demo uses Retrieval Augmented Generation from <a href="https://vectara.com/">Vectara</a><br>to ask questions about {cfg.source_data_desc}. </td>
-#                   </tr>
-#                 </table>
-#                 <center> <h2>{cfg.description}</h2></center>
-#                 '''
-
-cfg.description = f'''
+heading_html = f'''
                 <table>
                   <tr>
                       <td style="width: 80%; text-align: left; vertical-align: middle;"> <h1>Vectara AI Assistant: {cfg.title}</h1> </td>
@@ -85,7 +72,7 @@ if cfg.examples:
 else:
     app_examples = None
 
-demo = gr.ChatInterface(respond, description = cfg.description, css = css,
+demo = gr.ChatInterface(respond, description = heading_html, css = css,
                         chatbot = gr.Chatbot(value = [[None, "How may I help you?"]]), examples = app_examples, cache_examples = False)
 
 if __name__ == "__main__":