Update app.py

app.py

@@ -39,11 +39,11 @@ def invoke(openai_api_key, youtube_url, prompt):
     return result["result"]
 
 description = """The app demonstrates how to use a <strong>Large Language Model</strong> (LLM) with <strong>Retrieval Augmented Generation</strong> (RAG) on external data. 
-                 Enter an OpenAI API key, YouTube URL (external data), and prompt to search the video, analyse its sentiment, summarize it, and/or translate it, etc.\n\n
+                 Enter an OpenAI API key, YouTube URL (external data), and prompt to perform semantic search, sentiment analysis, summarization, and/or translation, etc.\n\n
                  Implementation: <a href='https://www.gradio.app/'>Gradio</a> UI using <a href='https://platform.openai.com/'>OpenAI</a> API 
                  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) 
-                 and <a href='https://www.trychroma.com/'>Chroma</a> vector database."""
+                 as well as <a href='https://www.trychroma.com/'>Chroma</a> vector database."""
 
 gr.close_all()
 demo = gr.Interface(fn=invoke,