Update app.py

app.py

@@ -12,51 +12,9 @@ st.set_page_config(
 if 'messages' not in st.session_state:
     st.session_state.messages = []
 
-def load_knowledge_base():
-    """Load the knowledge base from JSON file"""
-    try:
-        with open('knowledge_base.json', 'r', encoding='utf-8') as f:
-            return json.load(f)
-    except Exception as e:
-        st.error(f"Error loading knowledge base: {str(e)}")
-        return {}
-
-def get_context(query: str, knowledge_base: dict) -> str:
-    """Get relevant context from knowledge base based on query"""
-    query_lower = query.lower()
-    contexts = []
-    
-    # Project context
-    if "project" in query_lower:
-        if "projects" in knowledge_base:
-            contexts.extend([
-                f"{name}: {desc}"
-                for name, desc in knowledge_base["projects"].items()
-            ])
-            
-    # Skills context
-    elif any(keyword in query_lower for keyword in ["skill", "experience", "capability"]):
-        if "personal_details" in knowledge_base and "skills" in knowledge_base["personal_details"]:
-            contexts.extend([
-                f"{skill}: {desc}"
-                for skill, desc in knowledge_base["personal_details"]["skills"].items()
-            ])
-            
-    # Default context
-    else:
-        contexts = [
-            f"Name: {knowledge_base.get('personal_details', {}).get('full_name', 'Manyue')}",
-            "Summary: I am an aspiring AI/ML engineer with experience in Python, Machine Learning, and Data Analysis."
-        ]
-    
-    return "\n".join(contexts)
-
 def main():
     st.title("Portfolio Chatbot Testing Interface")
-    st.write("Test the chatbot's responses and interaction patterns")
-    
-    # Load knowledge base
-    knowledge_base = load_knowledge_base()
+    st.write("Basic testing version")
     
     # Create two columns for layout
     col1, col2 = st.columns([2, 1])
@@ -73,13 +31,10 @@ def main():
             # Add user message to chat history
             st.session_state.messages.append({"role": "user", "content": prompt})
             
-            # Get context for the query
-            context = get_context(prompt, knowledge_base)
-            
-            # For testing, just echo back the context
-            response = f"TEST RESPONSE: Here's what I know about this:\n\n{context}"
+            # Simple echo response for testing
+            response = f"You asked: {prompt}"
             
-            # Display assistant response in chat message container
+            # Display assistant response
             with st.chat_message("assistant"):
                 st.markdown(response)
             
@@ -88,24 +43,9 @@ def main():
     
     with col2:
         st.subheader("Testing Tools")
-        if st.button("Clear Chat History"):
+        if st.button("Clear Chat"):
             st.session_state.messages = []
             st.experimental_rerun()
-        
-        st.subheader("Sample Questions")
-        if st.button("Tell me about your ML projects"):
-            st.session_state.messages.append({
-                "role": "user",
-                "content": "Tell me about your ML projects"
-            })
-            st.experimental_rerun()
-        
-        if st.button("What are your Python skills?"):
-            st.session_state.messages.append({
-                "role": "user",
-                "content": "What are your Python skills?"
-            })
-            st.experimental_rerun()
 
 if __name__ == "__main__":
     main()