Update ui/contentagentui.py

ui/contentagentui.py

@@ -32,6 +32,25 @@ class ContentAgentUI:
 
     # ---------- helpers ----------
 
+
+    def _create_user_guidance(self):
+       gr.Markdown("""
+                Please enter text below to get started. Content Agent will try to determine whether the language is polite and uses the following classification:
+                - `polite`
+                - `somewhat polite`
+                - `neutral`
+                - `impolite`
+                Technology:
+                - App is running `deepseek-ai/DeepSeek-R1-Distill-Qwen-32B` text generation model.
+                - Agent uses Intel's Polite Guard NLP library tool
+                - Compute on GCP · Nvidia L4 · 4x GPUs · 96 GB
+                - By design, the inference endpoint is designed to fall asleep to save electricity and $$. If you were to run Content Agent for your business, you would configure it to run 24 hr/day, 7 days/week
+                
+        """)
+
+
+    
+
     def _read_css(self) -> str | None:
         css_path = os.path.join(os.getcwd(), "ui", "styles.css")
         if os.path.exists(css_path):
@@ -99,27 +118,38 @@ class ContentAgentUI:
                 )
                 start_btn = gr.Button("Start Agent (it can take up to 5 minute to start up)")
 
+
+
+
+
+            
             # Main panel (hidden until agent is initialized)
             with gr.Group(visible=False) as self.main_panel:
-                # Guidance / about
-                gr.Markdown(
-                    "### What this does\n"
-                    "Enter text below; the agent will classify tone (polite/neutral/impolite) and can use tools.\n\n"
-                    "**Tech:**\n"
-                    "- `deepseek-ai/DeepSeek-R1-Distill-Qwen-32B` (endpoint)\n"
-                    "- Intel Polite Guard tool\n"
-                    "- Runs via your Inference Endpoint\n"
-                )
 
+                strInput = "Your Input"
+                strPlaceholder="Enter something here...")
+                strSubmit = "Submit"
+                strOutput = "Content feedback"
+                
+                 
+                # Guidance / about
+                self._create_user_guidance()
+                
                 # Chat controls
                 self.agent_state = gr.State(None)
                 self.prompt = gr.Textbox(label="Content Input", placeholder="Enter your content for evaluation here.")
-                self.reply = gr.Textbox(label="Content feedback", interactive=False, lines=12)
+                self.reply = gr.Textbox(label="Content feedback", interactive=False, lines=12 max_lines=20)
                 submit_btn = gr.Button("Submit")
 
                 submit_btn.click(self._call_agent, inputs=[self.prompt, self.agent_state], outputs=self.reply)
                 self.prompt.submit(self._call_agent, inputs=[self.prompt, self.agent_state], outputs=self.reply)
 
+ 
+                # Use bound method with `self`
+                #self.submit_button.click(self.call_agent, inputs=self.user_input, outputs=self.output)
+                #self.user_input.submit(self.call_agent, inputs=self.user_input, outputs=self.output)
+                
+                
                 # Examples (optional)
                 gr.Markdown("### Try one of these examples")
                 if examples: