Update app.py

app.py

@@ -38,7 +38,6 @@ def chat_with_cerebras(user_input, system_prompt, model, temperature, top_p, max
             if "Chain of Thought:" in chunk.choices[0].delta.content:
                 chain_of_thought += chunk.choices[0].delta.content.split("Chain of Thought:", 1)[-1]
 
-
         # End compute time measurement
         compute_time = time.time() - start_time
 
@@ -47,7 +46,6 @@ def chat_with_cerebras(user_input, system_prompt, model, temperature, top_p, max
         if chain_of_thought:
            formatted_response += f"\n\n**Chain of Thought:**\n{chain_of_thought}"
 
-
         return formatted_response, chain_of_thought, f"Compute Time: {compute_time:.2f} seconds"
 
     except Exception as e:
@@ -65,43 +63,42 @@ def gradio_ui():
                 compute_time = gr.Textbox(label="Compute Time", interactive=False)
                 chain_of_thought_display = gr.Textbox(label="Chain of Thought", interactive=False, lines=10)
 
-
         user_input = gr.Textbox(label="Type your message", placeholder="Ask me anything...", lines=2)
         send_button = gr.Button("Send", variant="primary")
         clear_button = gr.Button("Clear Chat")
 
-        # Set default values for system prompt, model, etc.
-        default_system_prompt = "You are IntellijMind, an advanced AI designed to assist users with detailed insights, problem-solving, and chain-of-thought reasoning. Provide your answers in markdown format. If you do not know the answer, mention that you do not know and don't make things up."
+         # Set default values for system prompt, model, etc.
+        default_system_prompt = """You are IntellijMind, an advanced AI designed to assist users with detailed insights, problem-solving, and chain-of-thought reasoning. Provide your answers in markdown format. If you do not know the answer, mention that you do not know and don't make things up. Also, remember to be concise and get straight to the point without unnecessary fluff."""
         default_model = "llama-3.3-70b"
         default_temperature = 0.2
         default_top_p = 1
         default_max_tokens = 1024
 
+
         def handle_chat(chat_history, user_input):
             chat_history.append((user_input, None))
             yield chat_history, "", "Thinking..."
 
             ai_response, chain_of_thought, compute_info = chat_with_cerebras(user_input, default_system_prompt, default_model, default_temperature, default_top_p, default_max_tokens)
-
             chat_history[-1] = (user_input, markdown.markdown(ai_response))  # render markdown output to HTML
             yield chat_history, chain_of_thought, compute_info
 
+
         def clear_chat():
             return [], "", ""
 
-
         send_button.click(
             handle_chat,
             inputs=[chat_history, user_input],
             outputs=[chat_history, chain_of_thought_display, compute_time]
         )
-
         clear_button.click(clear_chat, outputs=[chat_history, chain_of_thought_display, compute_time])
 
         gr.Markdown("""---\n### 🌟 Features:\n- **Advanced Reasoning**: Chain-of-thought explanations for complex queries.\n- **Real-Time Performance Metrics**: Measure response compute time instantly.\n- **Insightful Chain of Thought**: See the reasoning process behind AI decisions.\n- **User-Friendly Design**: Intuitive chatbot interface with powerful features.\n- **Powered by IntellijMind Release 1st**: Setting new standards for AI interaction.\n""")
 
-    return demo
+        gr.Markdown("""\n\n## About\nThis project was created by Aniket Kumar as a showcase of AI capabilities with Cerebras. Feel free to explore and share!""")
 
+    return demo
 
 # Run the Gradio app
 demo = gradio_ui()