Update app.py

app.py

@@ -131,13 +131,23 @@ def convert_to_markdown(vectara_response_json):
     else:  
         return "No data found in the response."  
   
+# Welcome to Team Tonic's MultiMed
+new_section_content = """
+### How To Use
+
+
+### Join us
+On Discord : [![Let's build the future of AI together! 🚀🤖](https://discordapp.com/api/guilds/1109943800132010065/widget.png)](https://discord.gg/GWpVpekp)
+On Huggingface : [TeamTonic](https://huggingface.co/TeamTonic) & [MultiTransformer](https://huggingface.co/MultiTransformer)
+On Github : [PolyTonic](https://github.com/tonic-ai) & contribute to [PolyGPT](https://github.com/tonic-ai/polygpt-alpha)[![Join Us](https://img.shields.io/github/followers/Tonic-AI.svg?style=social&label=Follow&maxAge=2592000)]
+"""
   
 iface = gr.Interface(  
     fn=lambda text: convert_to_markdown(query_vectara(text)),  
     inputs=[gr.Textbox(label="Input Text")],  
     outputs=[gr.Markdown(label="Output Text")],  
-    title="Vectara Chatbot",  
-    description="Ask me anything using the Vectara API!",
+    title="👋🏻Welcome to Team Tonic MultiMed⚕️",  
+    description="This is an educational and accessible conversational tool to improve wellness and sanitation in support of public health that you can use on your own data & in your own way by cloning this space! ",
     examples=[
         ["What is the proper treatment for buccal herpes?"],
         ["Male,40 presenting with swollen genitals and a rash"],
@@ -148,6 +158,9 @@ iface = gr.Interface(
         ["구강 헤르페스의 적절한 치료법은 무엇입니까?"],
         ["Je, ni matibabu gani sahihi kwa herpes ya buccal?"]
     ]
-)  
+)
+new_section_component = gr.Markdown(new_section_content)
+#Layout for Larkdown
+iface.layout[0].insert(1, new_section_component)
   
 iface.launch()