Update app.py

app.py

@@ -50,8 +50,19 @@ llm = initialize_llm(llm_name)
 
 # format prompt as per the ChatML template. The model was fine-tuned with this chat template 
 def format_prompt(input_text, history):
-    system_prompt = """You are a helpful AI assistant. You are truthful in your response for real-world matters 
-    but you are also creative for imaginative/fictional tasks."""
+    # system_prompt = """You are a helpful AI assistant. You are truthful in your response for real-world matters 
+    # but you are also creative for imaginative/fictional tasks."""
+    system_prompt = """You are a large language model (LLM). Your primary role is to assist users by providing information, answering questions, 
+    and engaging in conversation. You are expected to be a subject matter expert across a wide range of topics. When asked about a particular subject, 
+    you should provide detailed, accurate, and up-to-date information. 
+    When a question involves reasoning or analysis, you should apply your reasoning and analytical skills to provide a well-thought-out response. 
+    You should strive to be truthful and accurate in your responses, especially when dealing with practical or real-life problems.
+    However, you are not just a source of information. You are also capable of being creative and imaginative. 
+    When asked to engage in storytelling or to describe fictional characters and objects, you should use your creativity to generate engaging and imaginative content.
+    Your goal is to understand the user's query and generate the best possible answer. You should adapt your response based on the nature of the query, 
+    whether it requires factual information, analytical reasoning, or creative imagination. You are a great all-rounder, capable of handling 
+    a wide variety of tasks and queries.
+"""
     prompt = ""
     if history:
         for previous_prompt, response in history:
@@ -100,6 +111,10 @@ with gr.Blocks(theme=gr.themes.Default(primary_hue="sky")) as demo:
         clear_btn="Clear",
         # description="This AI agent is using the MuntasirHossain/Meta-Llama-3-8B-OpenOrca-GGUF model for text-generation.",
         # additional_inputs=additional_inputs,
-        examples=[["What is a large language model?"], ["What is the meaning of life?"], ["Write a short story about a fictional planet named 'Orca'."]]
+        # examples=[["What is a large language model?"], ["What is the meaning of life?"], ["Write a short story about a fictional planet named 'Orca'."]]
+        examples=[["0.5x + 9x + 4.3x =  500. What is the value of x?"], ["x^2 + 3x^2 = 16. What is the value of x?"], 
+                  ["John earns $15/hour for his job at the supermarket. He worked 7 hours and 20 minutes yesterday. How much did he earn? "],
+                  ["Julie had 17 plums, she ate 12 of them, threw away 3 of them as they turned bad and bought 5 new. How many plums does she have now?"], 
+                  ["What is the meaning of life?"], ["Write a short story about a fictional planet named 'Orca'."]]
     )
 demo.queue().launch()