Add footer with social links

src/app.py

@@ -264,20 +264,11 @@ with gr.Blocks() as demo:
     1. Click the microphone button and describe your symptoms
     2. The AI will analyze your description and suggest possible diagnoses
     3. Answer follow-up questions to refine the diagnosis
-    
-    ### Created by:
-    Graham Paasch - Medical Coding Professional & Developer
-    [GitHub](https://github.com/yourusername) | [LinkedIn](https://linkedin.com/in/yourprofile)
     """)
     
     with gr.Row():
         with gr.Column(scale=2):
-            chatbot = gr.Chatbot(
-                label="Medical Consultation",
-                height=500,
-                container=True
-            )
-            
+            # Moved microphone row above chatbot
             with gr.Row():
                 microphone = gr.Microphone(
                     label="Describe your symptoms",
@@ -285,6 +276,13 @@ with gr.Blocks() as demo:
                     type="filepath"
                 )
                 clear_btn = gr.Button("Clear Chat", variant="secondary")
+            
+            chatbot = gr.Chatbot(
+                label="Medical Consultation",
+                height=500,
+                container=True,
+                type="messages"
+            )
                 
         with gr.Column(scale=1):
             with gr.Accordion("Advanced Settings", open=False):
@@ -310,19 +308,31 @@ with gr.Blocks() as demo:
     clear_btn.click(lambda: None, None, chatbot, queue=False)
     
     def enhanced_process_speech(audio_path, history, api_key=None, model_tier="small", temp=0.7):
-        transcript = process_speech(audio_path, history)
-        last_response = transcript[-1]["content"] if transcript else ""
+        """Process speech input and return formatted chat messages."""
+        if not audio_path:
+            return history
+        
+        # First get the raw transcript and response
+        transcript = process_speech(audio_path, [])  # Start fresh history
+        if not transcript or len(transcript) < 2:
+            return history + [[audio_path, "I couldn't process that audio. Could you try again?"]]
         
         try:
-            response_dict = json.loads(last_response)
-            user_message = format_response_for_user(response_dict)
-            # Optionally generate speech
-            # audio_html = text_to_speech(user_message)
-            # return transcript + [{"role": "assistant", "content": audio_html}]
-            return transcript
-        except:
-            return transcript
-    
+            # Get the last assistant response
+            user_message = transcript[-2]["content"]  # What the user said
+            assistant_json = transcript[-1]["content"]  # JSON response from assistant
+            
+            # Parse and format the assistant's response
+            response_dict = json.loads(assistant_json)
+            formatted_response = format_response_for_user(response_dict)
+            
+            # Add the exchange to history in the correct tuple format
+            return history + [[user_message, formatted_response]]
+            
+        except Exception as e:
+            print(f"Error formatting chat response: {e}")
+            return history + [[audio_path, "Sorry, I encountered an error processing your symptoms. Could you try again?"]]
+
     microphone.stream(
         fn=enhanced_process_speech,
         inputs=[
@@ -335,6 +345,25 @@ with gr.Blocks() as demo:
         outputs=chatbot,
         show_progress="hidden"
     )
+    
+    # Add footer with social links
+    gr.Markdown("""
+    ---
+    ### 👋 About the Creator
+    
+    Hi! I'm Graham Paasch, an experienced technology professional!
+    
+    🎥 **Check out my YouTube channel** for more tech content:  
+    [Subscribe to my channel](https://www.youtube.com/channel/UCg3oUjrSYcqsL9rGk1g_lPQ)
+    
+    💼 **Looking for a skilled developer?**  
+    I'm currently seeking new opportunities! View my experience and connect on [LinkedIn](https://www.linkedin.com/in/grahampaasch/)
+    
+    ⭐ If you found this tool helpful, please consider:
+    - Subscribing to my YouTube channel
+    - Connecting on LinkedIn
+    - Sharing this tool with others in healthcare tech
+    """)
 
 if __name__ == "__main__":
     demo.launch(