Update app.py

app.py

@@ -51,7 +51,7 @@ def invoke(openai_api_key, use_rag, prompt):
     return result["result"]
 
 description = """<strong>Overview:</strong> The app demonstrates how to use a Large Language Model (LLM) with Retrieval Augmented Generation (RAG) on external data 
-                 (in this case YouTube videos, but it could be PDFs, URLs, or other structured/unstructured private/public 
+                 (in this case a YouTube video, but it could be PDFs, URLs, or other structured/unstructured private/public 
                  <a href='https://raw.githubusercontent.com/bstraehle/ai-ml-dl/c38b224c196fc984aab6b6cc6bdc666f8f4fbcff/langchain/document-loaders.png'>data sources</a>).\n\n
                  <strong>Instructions:</strong> Enter an OpenAI API key and perform LLM use cases on a <a href='https://www.youtube.com/watch?v=--khbXchTeE'>short video about GPT-4</a> 
                  (semantic search, sentiment analysis, summarization, translation, etc.)
@@ -60,7 +60,7 @@ description = """<strong>Overview:</strong> The app demonstrates how to use a La
                  <li>Set "Use RAG" to "True" and submit prompt "what is gpt-4". The LLM <strong>with</strong> RAG knows the answer.</li>
                  <li>Experiment with different prompts, for example "what is gpt-4, answer in german" or "write a haiku about gpt-4".</li>
                  </ul>
-                 In a production system processing external data would be done in a batch process. An idea for a production system would be to perform LLM use cases on the 
+                 In a production system, processing external data would be done in a batch process. An idea for a production system would be to perform LLM use cases on the 
                  <a href='https://www.youtube.com/playlist?list=PL2yQDdvlhXf_hIzmfHCdbcXj2hS52oP9r'>AWS re:Invent playlist</a>.\n\n
                  <strong>Technology:</strong> <a href='https://www.gradio.app/'>Gradio</a> UI using <a href='https://platform.openai.com/'>OpenAI</a> API via AI-first 
                  <a href='https://www.langchain.com/'>LangChain</a> toolkit with <a href='https://openai.com/research/whisper'>Whisper</a> (speech-to-text) and