Update app.py

app.py

@@ -7,7 +7,7 @@ import logging
 from dotenv import load_dotenv
 
 # Configure logging
-tlogging = logging.getLogger(__name__)
+logger = logging.getLogger(__name__)
 logging.basicConfig(level=logging.INFO)
 
 # Import agent logic and message types
@@ -15,7 +15,7 @@ try:
     from agent import ClinicalAgent, AgentState, check_red_flags
     from langchain_core.messages import HumanMessage, AIMessage, ToolMessage
 except ImportError as e:
-    logging.exception("Failed to import from agent.py")
+    logger.exception("Failed to import from agent.py")
     st.error(f"Failed to import from agent.py: {e}. Make sure agent.py is in the same directory.")
     st.stop()
 
@@ -39,7 +39,7 @@ def get_agent():
     try:
         return ClinicalAgent()
     except Exception as e:
-        logging.exception("Failed to initialize ClinicalAgent")
+        logger.exception("Failed to initialize ClinicalAgent")
         st.error(f"Failed to initialize Clinical Agent: {e}. Check API keys and dependencies.")
         st.stop()
 
@@ -86,7 +86,9 @@ def load_patient_intake():
         bp_mmhg = st.text_input("BP", "155/90", key="sb_bp")
         spo2_percent = st.number_input("SpO2", min_value=70, max_value=100, value=96, key="sb_spo2")
         pain_scale = st.slider("Pain", min_value=0, max_value=10, value=8, key="sb_pain")
-    exam_notes = st.text_area("Exam Notes", "Awake, alert...", height=50, key="sb_exam")
+
+    # Updated minimum height to 68px to satisfy Streamlit requirement
+    exam_notes = st.text_area("Exam Notes", "Awake, alert...", height=68, key="sb_exam")
 
     # Process meds and allergies with comprehensions
     current_meds_list = [m.strip() for m in current_meds_str.splitlines() if m.strip()]
@@ -107,7 +109,7 @@ def load_patient_intake():
         try:
             bp_sys, bp_dia = map(int, bp_mmhg.split("/"))
         except ValueError:
-            logging.warning(f"Unable to parse BP '{bp_mmhg}'")
+            logger.warning(f"Unable to parse BP '{bp_mmhg}'")
 
     return {
         "demographics": {"age": age, "sex": sex},
@@ -132,7 +134,6 @@ def load_patient_intake():
     }
 
 # Main application
-
 def main():
     st.set_page_config(page_title=ClinicalAppSettings.APP_TITLE, layout=ClinicalAppSettings.PAGE_LAYOUT)
     st.title(f"🩺 {ClinicalAppSettings.APP_TITLE}")
@@ -190,7 +191,7 @@ def main():
                     else:
                         st.markdown(ai_content)
                 except (AttributeError, json.JSONDecodeError) as e:
-                    logging.warning(f"JSON parse error: {e}")
+                    logger.warning(f"JSON parse error: {e}")
                     st.markdown(ai_content)
 
                 if structured_output and isinstance(structured_output, dict):
@@ -199,7 +200,7 @@ def main():
                     cols = st.columns(2)
                     with cols[0]:
                         st.markdown("**Assessment:**")
-                        st.markdown(f"> {structured_output.get('assessment', 'N/A')}" )
+                        st.markdown(f"> {structured_output.get('assessment', 'N/A')}")
                         st.markdown("**Differential Diagnosis:**")
                         ddx = structured_output.get('differential_diagnosis', [])
                         if ddx:
@@ -235,7 +236,7 @@ def main():
                                 st.markdown("_None_")
 
                     st.markdown("**Rationale & Guideline Check:**")
-                    st.markdown(f"> {structured_output.get('rationale_summary', 'N/A')}" )
+                    st.markdown(f"> {structured_output.get('rationale_summary', 'N/A')}")
                     if interaction := structured_output.get('interaction_check_summary'):
                         st.markdown("**Interaction Check Summary:**")
                         st.markdown(f"> {interaction}")
@@ -282,7 +283,7 @@ def main():
                 st.session_state.messages = final_state.get('messages', [])
                 st.session_state.summary = final_state.get('summary')
             except Exception as e:
-                logging.exception("Error during agent.invoke_turn")
+                logger.exception("Error during agent.invoke_turn")
                 st.error(f"Error: {e}")
                 st.session_state.messages.append(AIMessage(content=f"Error processing request: {e}"))
         st.rerun()
@@ -292,4 +293,4 @@ def main():
     st.warning("**Disclaimer:** SynapseAI is for demonstration only and not for clinical use.")
 
 if __name__ == "__main__":
-    main()
+    main()