Update app.py

app.py

@@ -36,13 +36,11 @@ from transformers import GPT2TokenizerFast
 USE_INTERFACE = True  # Change to False if you want to run the code without the Gradio interface, and instead see a single pre-supplied question 
 filepath = '2023_investment_outlook.docx' 
                             # Path to document containing domain content.  Initial cleaning of domain content 
-                            # can be done inside (eg, using Python) or outside (eg, using Word),
+                            # can be done inside (eg, using Python) or outside (eg, using Word) this program,
                             # depending on needs and circumstances. 
 # emb_filepath = 'PATH HERE'  # Path to document containing saved content embeddings, if applicable 
 COMPLETIONS_MODEL = "text-davinci-003" 
-# Get the value of the secret
-# secrets = openai_secret_manager.get_secrets("API-KEY")
-# openai.api_key = secrets["api_key"]
+# Get the value of confidential OpenAI API key; register at OpenAI for keys
 openai.api_key = os.environ["API-KEY"]
 MODEL_NAME = "curie"
 DOC_EMBEDDINGS_MODEL = f"text-search-{MODEL_NAME}-doc-001"
@@ -334,9 +332,9 @@ if USE_INTERFACE:
     outputs=gr.Textbox(lines=2, label="Answer"),
     description="Example of a domain-specific chatbot, using ChatGPT with supplemental content added.<br>\
                   Here, the content relates to the investment outlook for 2023, according to Morgan Stanley, JPMorgan and Goldman Sachs.<br>\
-                  Sample queries: 'What is Goldman's outlook for inflation?', 'What about the bond market?', 'What does JPMorgan think about 2023?'<br>\
-                  NOTE: High-level demo only. Supplemental content document totals about 4,000 words, due to limits on free-of-charge usage of ChatGPT.<br>\
-                  Far more robust domain-specific responses are possible by customizing ChatGPT.",
+                  Sample queries: What is Goldman's outlook for inflation? What about the bond market? What does JPMorgan think about 2023?<br>\
+                  NOTE: High-level demo only. Supplemental content used here limited to about 30 paragraphs, due to limits on free-of-charge usage of ChatGPT.<br>\
+                  More robust domain-specific responses are possible.",
     title="Domain-Specific Chatbot",)
     # Launch the interface   
     demo.launch()