Update app.py

app.py

@@ -9,7 +9,8 @@ from transformers import AutoModelForCausalLM, GemmaTokenizerFast, TextIteratorS
 
 DESCRIPTION = """\
 # Prompt Generator with Gemma 2 9B IT
-The Prompt Generator can turn a task description into a high quality prompt. For best results, be sure to describe your task in as much detail as possible, including what input data the prompt should expect as well as how the output should be formatted.
+## Uses OpenAI's leaked meta prompt for optimizing GPT prompts! 
+### The Prompt Generator can turn a task description into a high quality prompt. For best results, be sure to describe your task in as much detail as possible, including what input data the prompt should expect as well as how the output should be formatted.
 """
 
 MAX_MAX_NEW_TOKENS = 2048
@@ -150,7 +151,11 @@ chat_interface = gr.ChatInterface(
     ],
     stop_btn=None,
     examples=[
-        ["Classify chat transcripts into categories using our content moderation policy"]
+        ["Draft an email responding to a customer complaint email and offer a resolution"],
+        ["Classify chat transcripts into categories using our content moderation policy"],
+        ["Translate code to Python"],
+        ["Recommend a product based on a customer's previous transactions"],
+        ["Summarize documents into 10 bullet points max"]
     ],
     cache_examples=False,
     type="messages",
@@ -158,7 +163,7 @@ chat_interface = gr.ChatInterface(
 
 with gr.Blocks(css="style.css", fill_height=True) as demo:
     gr.Markdown(DESCRIPTION)
-    gr.DuplicateButton(value="Duplicate Space for private use", elem_id="duplicate-button")
+    gr.DuplicateButton(value="Space by Rishiraj Acharya. Duplicate it?", elem_id="duplicate-button")
     chat_interface.render()
 
 if __name__ == "__main__":