Update app.py

app.py

@@ -72,7 +72,7 @@ def respond(
         outputs += output
         yield outputs
 
-def create_interface(description):
+def create_interface(title,description):
     return gr.ChatInterface(
         respond,
         additional_inputs=[
@@ -106,8 +106,8 @@ def create_interface(description):
         undo_btn="Undo",
         clear_btn="Clear",
         submit_btn="Send",
-        title=f"{description}",
-        description=description,
+        title=f"{title}",
+        description=f"{description}",
         chatbot=gr.Chatbot(
             scale=1,
             likeable=False,
@@ -116,10 +116,11 @@ def create_interface(description):
     )
 
 # Description for the interface
-description = """<p align="center">S29-phi35-qlora-finefuned-gguf</p>"""
-
+title = """<p align="center">S29-phi35-qlora-finefuned-gguf</p>"""
+description="Phi-3.5-mini is a lightweight, state-of-the-art open model built upon datasets used for Phi-3 - synthetic data and filtered publicly available websites - with a focus on very high-quality, reasoning dense data. The model belongs to the Phi-3 model family and supports 128K token context length. The model underwent a rigorous enhancement process, incorporating both supervised fine-tuning, proximal policy optimization, and direct preference optimization to ensure precise instruction adherence and robust safety measures. This demo utilises a fine tuned version of Phi3.5 instruct model using QLora on OpenAssist dataset - a human-generated, human-annotated assistant-style conversation corpus consisting of 161,443 messages in 35 different languages, annotated with 461,292 quality ratings, resulting in over 10,000 fully annotated conversation trees.",
+        
 # Create interface with dropdown for model selection
-interface = create_interface(description)
+interface = create_interface(title,description)
 
 # Gradio Blocks
 demo = gr.Blocks()