Update app.py

app.py

@@ -24,12 +24,11 @@ def invoke(openai_api_key, youtube_url, prompt):
     ###
     return retrieval
 
-description = """The app demonstrates how to use a Large Language Model (LLM) with Retrieval Augmented Generation (RAG) on external data.\n\n
-                 Enter an OpenAI API key, YouTube URL, and prompt - search the video, analyse its sentiment, summarize it, translate it, etc.\n\n
+description = """The app demonstrates how to use a Large Language Model (LLM) with Retrieval Augmented Generation (RAG) on external data. 
+                 Enter an OpenAI API key, YouTube URL, and prompt to search the video, analyse its sentiment, summarize it, translate it, etc. 
                  <a href='https://www.gradio.app/'>Gradio</a> UI using <a href='https://platform.openai.com/'>OpenAI</a> API 
-                 with <a href='https://openai.com/research/whisper'>Whisper</a> (speech to text) and 
-                 <a href='https://openai.com/research/gpt-4'>GPT-4</a> (LLM use cases) foundation models 
-                 via AI-first toolkit <a href='https://www.langchain.com/'>LangChain</a>."""
+                 with foundation models <a href='https://openai.com/research/whisper'>Whisper</a> (speech to text) and 
+                 <a href='https://openai.com/research/gpt-4'>GPT-4</a> (LLM use cases) via AI-first toolkit <a href='https://www.langchain.com/'>LangChain</a>."""
 
 gr.close_all()
 demo = gr.Interface(fn=invoke,