Update app.py

app.py

@@ -78,11 +78,12 @@ def invoke(openai_api_key, use_rag, prompt):
 description = """<strong>Overview:</strong> The app demonstrates how to use a Large Language Model (LLM) with Retrieval Augmented Generation (RAG) on external data 
                  (YouTube videos, PDFs, URLs, or other <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 (semantic search, summarization, translation, etc.) on 
-                 <strong>YouTube videos about GPT-4</strong>, created after the GPT-4 training cutoff.
+                 <strong>YouTube videos about GPT-4</strong>, created after its training cutoff.
                  <ul style="list-style-type:square;">
-                 <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 prompts, e.g. "Explain GPT-4 in one sentence in German", "List pros and cons of GPT-4", or "Write a Python program to call the GPT-4 API".</li>
+                 <li>Set "Retrieval Augmented Generation" to "<strong>False</strong>" and submit prompt "What is 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 "What is GPT-4". The LLM <strong>with</strong> RAG knows the answer.</li>
+                 <li>Experiment with prompts, e.g. "What is GPT-4 in one sentence in German", "List pros and cons of GPT-4", or "Write a Python program to call the GPT-4 API".</li>
+                 <li>Experiment some more, e.g. "Tell a joke about GPT-4", "Write a poem about GPT-4", or "Teach about prompt engineering".</li>
                  </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 
@@ -93,7 +94,7 @@ gr.close_all()
 demo = gr.Interface(fn=invoke, 
                     inputs = [gr.Textbox(label = "OpenAI API Key", value = "sk-", lines = 1), 
                               gr.Radio([True, False], label="Retrieval Augmented Generation", value = False), 
-                              gr.Textbox(label = "Prompt", value = "Explain GPT-4", lines = 1)],
+                              gr.Textbox(label = "Prompt", value = "What is GPT-4", lines = 1)],
                     outputs = [gr.Textbox(label = "Completion", lines = 1)],
                     title = "Generative AI - LLM & RAG",
                     description = description)