Update app.py

app.py

@@ -36,7 +36,7 @@ YOUTUBE_URL = "https://www.youtube.com/watch?v=--khbXchTeE"
 MODEL_NAME  = "gpt-4"
 
 def invoke(openai_api_key, use_rag, prompt):
-    print(os.listdir("./"))
+    print(os.listdir("../"))
     llm = ChatOpenAI(model_name = MODEL_NAME, 
                      openai_api_key = openai_api_key, 
                      temperature = 0)
@@ -74,7 +74,7 @@ description = """<strong>Overview:</strong> The app demonstrates how to use a La
                  <li>Set "Retrieval Augmented Generation" to "<strong>False</strong>" and submit prompt "explain gpt-4". The LLM <strong>without</strong> RAG does not know the answer.</li>
                  <li>Set "Retrieval Augmented Generation" to "<strong>True</strong>" and submit prompt "explain gpt-4". The LLM <strong>with</strong> RAG knows the answer.</li>
                  <li>Experiment with different prompts, for example "explain gpt-4 in german", "list pros and cons of gpt-4", or "write a poem about gpt-4".</li>
-                 </ul>
+                 </ul>\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 
                  <a href='https://openai.com/research/gpt-4'>GPT-4</a> (LLM) foundation models as well as AI-native <a href='https://www.trychroma.com/'>Chroma</a>