Update app.py

app.py

@@ -19,12 +19,11 @@ def generateText(inputText, num_tokens=200):
     
 
 title = "Fine tuned Phi3.5 instruct model on OpenAssist dataset using QLora"
-description = 
-'''
+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..
+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.
 '''
 examples = [
             ["How do I build a PC?", 200],