Update app.py

app.py

@@ -578,63 +578,63 @@ import streamlit as st
 def StreamMedChatResponse(topic):
     st.write(f"Showing resources or questions related to: {topic}")
 
-def add_medical_exam_buttons():
-    with st.expander("Medical Licensing Exam Topics 📚", expanded=True):
-        st.markdown("🩺 **Important**: This section provides a variety of medical topics that are often encountered in medical licensing exams.")
+def add_multi_system_agent_topics():
+    with st.expander("Multi-System Agent AI Topics 🤖", expanded=True):
+        st.markdown("🤖 **Explore Multi-System Agent AI Topics**: This section provides a variety of topics related to multi-system agent AI systems.")
 
-        # Define medical exam terminology descriptions
+        # Define multi-system agent AI topics and descriptions
         descriptions = {
-            "Ultrasound with Doppler 🌊": "Questions related to Doppler Ultrasound imaging techniques 🎥",
-            "Oseltamivir 🦠": "Questions about the antiviral medication Oseltamivir 💊",
-            "IM Epinephrine 💉": "Questions related to intramuscular administration of epinephrine 💪",
-            "Hypokalemia 🍌": "Questions pertaining to low potassium levels in blood 🩸",
-            "Succinylcholine 💊": "Questions on the use and side-effects of Succinylcholine 🚑",
-            "Testicular Torsion 🤕": "Questions related to the diagnosis and treatment of testicular torsion 🏥",
-            "Phosphoinositol System 🧬": "Questions about the Phosphoinositol signalling system 🛠",
-            "Ramipril 💊": "Questions related to the ACE inhibitor Ramipril 🩺"
+            "Reinforcement Learning 🎮": "Questions related to reinforcement learning algorithms and applications 🕹️",
+            "Natural Language Processing 🗣️": "Questions about natural language processing techniques and chatbot development 🗨️",
+            "Multi-Agent Systems 🤝": "Questions pertaining to multi-agent systems and cooperative AI interactions 🤖",
+            "Conversational AI 🗨️": "Questions on building conversational AI agents and chatbots for various platforms 💬",
+            "Distributed AI Systems 🌐": "Questions about distributed AI systems and their implementation in networked environments 🌐",
+            "AI Ethics and Bias 🤔": "Questions related to ethics and bias considerations in AI systems and decision-making 🧠",
+            "AI in Healthcare 🏥": "Questions about the application of AI in healthcare and medical diagnosis 🩺",
+            "AI in Autonomous Vehicles 🚗": "Questions on the use of AI in autonomous vehicles and self-driving technology 🚗"
         }
 
         # Create columns
         col1, col2, col3, col4 = st.columns([1, 1, 1, 1], gap="small")
         
         # Add buttons to columns
-        if col1.button("Ultrasound with Doppler 🌊"):
-            StreamLLMChatResponse(descriptions["Ultrasound with Doppler 🌊"])
+        if col1.button("Reinforcement Learning 🎮"):
+            st.write(descriptions["Reinforcement Learning 🎮"])
 
-        if col2.button("Oseltamivir 🦠"):
-            StreamLLMChatResponse(descriptions["Oseltamivir 🦠"])
+        if col2.button("Natural Language Processing 🗣️"):
+            st.write(descriptions["Natural Language Processing 🗣️"])
 
-        if col3.button("IM Epinephrine 💉"):
-            StreamLLMChatResponse(descriptions["IM Epinephrine 💉"])
+        if col3.button("Multi-Agent Systems 🤝"):
+            st.write(descriptions["Multi-Agent Systems 🤝"])
 
-        if col4.button("Hypokalemia 🍌"):
-            StreamLLMChatResponse(descriptions["Hypokalemia 🍌"])
+        if col4.button("Conversational AI 🗨️"):
+            st.write(descriptions["Conversational AI 🗨️"])
 
         col5, col6, col7, col8 = st.columns([1, 1, 1, 1], gap="small")
 
-        if col5.button("Succinylcholine 💊"):
-            StreamLLMChatResponse(descriptions["Succinylcholine 💊"])
+        if col5.button("Distributed AI Systems 🌐"):
+            st.write(descriptions["Distributed AI Systems 🌐"])
 
-        if col6.button("Testicular Torsion 🤕"):
-            StreamLLMChatResponse(descriptions["Testicular Torsion 🤕"])
+        if col6.button("AI Ethics and Bias 🤔"):
+            st.write(descriptions["AI Ethics and Bias 🤔"])
 
-        if col7.button("Phosphoinositol System 🧬"):
-            StreamLLMChatResponse(descriptions["Phosphoinositol System 🧬"])
+        if col7.button("AI in Healthcare 🏥"):
+            st.write(descriptions["AI in Healthcare 🏥"])
+
+        if col8.button("AI in Autonomous Vehicles 🚗"):
+            st.write(descriptions["AI in Autonomous Vehicles 🚗"])
 
-        if col8.button("Ramipril 💊"):
-            StreamLLMChatResponse(descriptions["Ramipril 💊"])
-        
-        
 
 # 17. Main
 def main():
 
-    st.title("GAIA - Medical License Exam Testing")
+    st.title("Try Some Topics:")
     prompt = f"Write ten funny jokes that are tweet length stories that make you laugh.  Show as markdown outline with emojis for each."
 
     # Add Wit and Humor buttons
     # add_witty_humor_buttons()
-    add_medical_exam_buttons()
+    # Calling the function to add the multi-system agent AI topics buttons
+    add_multi_system_agent_topics()
 
     example_input = st.text_input("Enter your example text:", value=prompt, help="Enter text to get a response from DromeLlama.")
     if st.button("Run Prompt With DromeLlama", help="Click to run the prompt."):