Update app.py

app.py

@@ -45,7 +45,7 @@ def invoke(openai_api_key, youtube_url, process_video, prompt):
     return result["result"]
 
 description = """<strong>Overview:</strong> The app demonstrates how to use a <strong>Large Language Model</strong> (LLM) with <strong>Retrieval Augmented Generation</strong> 
-                 (RAG) on external data (YouTube videos in this case, but could be PDFs, URLs, databases, etc.).\n\n
+                 (RAG) on external data (YouTube videos in this case, but could be PDFs, URLs, databases, etc.)\n\n
                  <strong>Instructions:</strong> Enter an OpenAI API key, YouTube URL, and prompt to perform semantic search, sentiment analysis, summarization, 
                  translation, etc. "Process Video" specifies whether or not to perform speech-to-text processing. To ask multiple questions related to the same video, 
                  typically set it to "True" the first time and then to "False". Note that persistence is not guaranteed in the Hugging Face free tier