Adding working cached examples, and textbox for output UI component

app.py

@@ -270,9 +270,10 @@ def predict(user_input):
 
 # Set up UI components for input and output
 # Input components
-user_question_textbox = gr.Textbox(placeholder="Enter your query here", lines=6)
+user_question_textbox = gr.Textbox(label="User question", placeholder="Enter your query here", lines=6)
 # Output components
-model_prediction = "text"
+# model_prediction = "text"   # OK, works.
+model_prediction = gr.Textbox(label="Model prediction", placeholder="Enter your query here", lines=6)
 # model_prediction = gr.Label(label="Model prediction")  # This produces large font (not appropriate UI component)
 
 
@@ -284,10 +285,10 @@ demo = gr.Interface(
     title = "Ask Me Anything (AMA) on Tesla 10-K statements",
     description= " This web API presents an interface to ask questions about the contents of the Tesla 10-K reports for the period 2019 - 2023.",
     article = "Note that questions that are not relevant to the Tesla 10-K report will not be answered.",
-    examples=[["What was the total revenue of the company in 2022?", "$ 81.46 Billion"],
+    examples=[["What was the total revenue of the company in 2022?", ""],
             ["Summarize the Management Discussion and Analysis section of the 2021 report in 50 words.", ""],
-            ["What was the company's debt level in 2020?", ""],
-            ["Identify 5 key risks identified in the 2019 10k report? Respond with bullet point summaries.", ""]
+            ["What was the company's debt level in 2021?", ""],
+            ["What are the risks related to the company's ability to grow its business in 2023? Respond with bullet point summaries.", ""]
     ],    
     allow_flagging="auto",    # automatically push to the HuggingFace Dataset
     concurrency_limit = 16