Update app.py

app.py

@@ -14,21 +14,17 @@ except ImportError as e:
     st.error(f"Failed to import from agent.py: {e}. Make sure agent.py is in the same directory.")
     st.stop()
 
+
 # --- Environment Variable Loading & Validation ---
 load_dotenv()
 # Check keys required by agent.py are present before initializing the agent
 UMLS_API_KEY = os.environ.get("UMLS_API_KEY")
 GROQ_API_KEY = os.environ.get("GROQ_API_KEY")
 TAVILY_API_KEY = os.environ.get("TAVILY_API_KEY")
-
 missing_keys = []
-if not UMLS_API_KEY:
-    missing_keys.append("UMLS_API_KEY")
-if not GROQ_API_KEY:
-    missing_keys.append("GROQ_API_KEY")
-if not TAVILY_API_KEY:
-    missing_keys.append("TAVILY_API_KEY")
-
+if not UMLS_API_KEY: missing_keys.append("UMLS_API_KEY")
+if not GROQ_API_KEY: missing_keys.append("GROQ_API_KEY")
+if not TAVILY_API_KEY: missing_keys.append("TAVILY_API_KEY")
 if missing_keys:
     st.error(f"Missing required API Key(s): {', '.join(missing_keys)}. Please set them in Hugging Face Space Secrets or environment variables.")
     st.stop()
@@ -37,7 +33,8 @@ if missing_keys:
 class ClinicalAppSettings:
     APP_TITLE = "SynapseAI (UMLS/FDA Integrated)"
     PAGE_LAYOUT = "wide"
-    MODEL_NAME_DISPLAY = "Llama3-70b (via Groq)"  # Defined in agent.py
+    MODEL_NAME_DISPLAY = "Llama3-70b (via Groq)" # Defined in agent.py
+
 
 # --- Streamlit UI ---
 def main():
@@ -46,13 +43,9 @@ def main():
     st.caption(f"Interactive Assistant | LangGraph/Groq/Tavily/UMLS/OpenFDA | Model: {ClinicalAppSettings.MODEL_NAME_DISPLAY}")
 
     # Initialize session state
-    if "messages" not in st.session_state:
-        st.session_state.messages = []
-    if "patient_data" not in st.session_state:
-        st.session_state.patient_data = None
-    if "summary" not in st.session_state:
-        st.session_state.summary = None
-
+    if "messages" not in st.session_state: st.session_state.messages = []
+    if "patient_data" not in st.session_state: st.session_state.patient_data = None
+    if "summary" not in st.session_state: st.session_state.summary = None
     # Initialize the agent instance only once
     if "agent" not in st.session_state:
         try:
@@ -64,104 +57,40 @@ def main():
             traceback.print_exc()
             st.stop()
 
+
     # --- Patient Data Input Sidebar ---
     with st.sidebar:
         st.header("📄 Patient Intake Form")
         # Input fields... (Using shorter versions for brevity, assume full fields are here)
-        st.subheader("Demographics")
-        age = st.number_input("Age", 0, 120, 55, key="sb_age")
-        sex = st.selectbox("Sex", ["Male", "Female", "Other"], key="sb_sex")
-
-        st.subheader("HPI")
-        chief_complaint = st.text_input("Chief Complaint", "Chest pain", key="sb_cc")
-        hpi_details = st.text_area("HPI Details", "55 y/o male...", height=100, key="sb_hpi")
-        symptoms = st.multiselect(
-            "Symptoms",
-            ["Nausea", "Diaphoresis", "SOB", "Dizziness", "Severe Headache", "Syncope", "Hemoptysis"],
-            default=["Nausea", "Diaphoresis"],
-            key="sb_sym"
-        )
-
-        st.subheader("History")
-        pmh = st.text_area("PMH", "HTN, HLD, DM2, History of MI", key="sb_pmh")
-        psh = st.text_area("PSH", "Appendectomy", key="sb_psh")
-
-        st.subheader("Meds & Allergies")
-        current_meds_str = st.text_area(
-            "Current Meds",
-            "Lisinopril 10mg daily\nMetformin 1000mg BID\nWarfarin 5mg daily",
-            key="sb_meds"
-        )
-        allergies_str = st.text_area("Allergies", "Penicillin (rash), Aspirin", key="sb_allergies")  # Added Warfarin/Aspirin for testing
-
-        st.subheader("Social/Family")
-        social_history = st.text_area("SH", "Smoker", key="sb_sh")
-        family_history = st.text_area("FHx", "Father MI", key="sb_fhx")
-
-        st.subheader("Vitals & Exam")
-        col1, col2 = st.columns(2)
-        with col1:
-            temp_c = st.number_input("Temp C", 35.0, 42.0, 36.8, format="%.1f", key="sb_temp")
-            hr_bpm = st.number_input("HR", 30, 250, 95, key="sb_hr")
-            rr_rpm = st.number_input("RR", 5, 50, 18, key="sb_rr")
-        with col2:
-            bp_mmhg = st.text_input("BP", "155/90", key="sb_bp")
-            spo2_percent = st.number_input("SpO2", 70, 100, 96, key="sb_spo2")
-            pain_scale = st.slider("Pain", 0, 10, 8, key="sb_pain")
+        st.subheader("Demographics"); age = st.number_input("Age", 0, 120, 55, key="sb_age"); sex = st.selectbox("Sex", ["Male", "Female", "Other"], key="sb_sex")
+        st.subheader("HPI"); chief_complaint = st.text_input("Chief Complaint", "Chest pain", key="sb_cc"); hpi_details = st.text_area("HPI Details", "55 y/o male...", height=100, key="sb_hpi"); symptoms = st.multiselect("Symptoms", ["Nausea", "Diaphoresis", "SOB", "Dizziness", "Severe Headache", "Syncope", "Hemoptysis"], default=["Nausea", "Diaphoresis"], key="sb_sym")
+        st.subheader("History"); pmh = st.text_area("PMH", "HTN, HLD, DM2, History of MI", key="sb_pmh"); psh = st.text_area("PSH", "Appendectomy", key="sb_psh")
+        st.subheader("Meds & Allergies"); current_meds_str = st.text_area("Current Meds", "Lisinopril 10mg daily\nMetformin 1000mg BID\nWarfarin 5mg daily", key="sb_meds"); allergies_str = st.text_area("Allergies", "Penicillin (rash), Aspirin", key="sb_allergies") # Added Warfarin/Aspirin for testing
+        st.subheader("Social/Family"); social_history = st.text_area("SH", "Smoker", key="sb_sh"); family_history = st.text_area("FHx", "Father MI", key="sb_fhx")
+        st.subheader("Vitals & Exam"); col1, col2 = st.columns(2);
+        with col1: temp_c = st.number_input("Temp C", 35.0, 42.0, 36.8, format="%.1f", key="sb_temp"); hr_bpm = st.number_input("HR", 30, 250, 95, key="sb_hr"); rr_rpm = st.number_input("RR", 5, 50, 18, key="sb_rr")
+        with col2: bp_mmhg = st.text_input("BP", "155/90", key="sb_bp"); spo2_percent = st.number_input("SpO2", 70, 100, 96, key="sb_spo2"); pain_scale = st.slider("Pain", 0, 10, 8, key="sb_pain")
         exam_notes = st.text_area("Exam Notes", "Awake, alert...", height=50, key="sb_exam")
 
         if st.button("Start/Update Consultation", key="sb_start"):
             # Compile data...
             current_meds_list = [med.strip() for med in current_meds_str.split('\n') if med.strip()]
-            current_med_names_only = []
-            for med in current_meds_list:
-                match = re.match(r"^\s*([a-zA-Z\-]+)", med)
-                if match:
-                    current_med_names_only.append(match.group(1).lower())
-
+            current_med_names_only = [];
+            for med in current_meds_list: match = re.match(r"^\s*([a-zA-Z\-]+)", med);
+            if match: current_med_names_only.append(match.group(1).lower())
             allergies_list = []
-            for a in allergies_str.split(','):
-                cleaned_allergy = a.strip()
-                if cleaned_allergy:
-                    match = re.match(r"^\s*([a-zA-Z\-\s/]+)(?:\s*\(.*\))?", cleaned_allergy)
-                    name_part = match.group(1).strip().lower() if match else cleaned_allergy.lower()
-                    allergies_list.append(name_part)
-
+            for a in allergies_str.split(','): cleaned_allergy = a.strip();
+            if cleaned_allergy: match = re.match(r"^\s*([a-zA-Z\-\s/]+)(?:\s*\(.*\))?", cleaned_allergy); name_part = match.group(1).strip().lower() if match else cleaned_allergy.lower(); allergies_list.append(name_part)
             # Update patient data in session state
-            st.session_state.patient_data = {
-                "demographics": {"age": age, "sex": sex},
-                "hpi": {"chief_complaint": chief_complaint, "details": hpi_details, "symptoms": symptoms},
-                "pmh": {"conditions": pmh},
-                "psh": {"procedures": psh},
-                "medications": {"current": current_meds_list, "names_only": current_med_names_only},
-                "allergies": allergies_list,
-                "social_history": {"details": social_history},
-                "family_history": {"details": family_history},
-                "vitals": {
-                    "temp_c": temp_c,
-                    "hr_bpm": hr_bpm,
-                    "bp_mmhg": bp_mmhg,
-                    "rr_rpm": rr_rpm,
-                    "spo2_percent": spo2_percent,
-                    "pain_scale": pain_scale
-                },
-                "exam_findings": {"notes": exam_notes}
-            }
-
+            st.session_state.patient_data = { "demographics": {"age": age, "sex": sex}, "hpi": {"chief_complaint": chief_complaint, "details": hpi_details, "symptoms": symptoms}, "pmh": {"conditions": pmh}, "psh": {"procedures": psh}, "medications": {"current": current_meds_list, "names_only": current_med_names_only}, "allergies": allergies_list, "social_history": {"details": social_history}, "family_history": {"details": family_history}, "vitals": { "temp_c": temp_c, "hr_bpm": hr_bpm, "bp_mmhg": bp_mmhg, "rr_rpm": rr_rpm, "spo2_percent": spo2_percent, "pain_scale": pain_scale}, "exam_findings": {"notes": exam_notes} }
             # Call check_red_flags from agent module
-            red_flags = check_red_flags(st.session_state.patient_data)
-            st.sidebar.markdown("---")
-            if red_flags:
-                st.sidebar.warning("**Initial Red Flags:**")
-                for flag in red_flags:
-                    st.sidebar.warning(f"- {flag.replace('Red Flag: ', '')}")
-            else:
-                st.sidebar.success("No immediate red flags.")
-
+            red_flags = check_red_flags(st.session_state.patient_data); st.sidebar.markdown("---");
+            if red_flags: st.sidebar.warning("**Initial Red Flags:**"); [st.sidebar.warning(f"- {flag.replace('Red Flag: ','')}") for flag in red_flags]
+            else: st.sidebar.success("No immediate red flags.")
             # Reset conversation and summary on new intake
             initial_prompt = "Initiate consultation. Review patient data and begin analysis."
             st.session_state.messages = [HumanMessage(content=initial_prompt)]
-            st.session_state.summary = None  # Reset summary
+            st.session_state.summary = None # Reset summary
             st.success("Patient data loaded/updated.")
             # Rerun might be needed if the main area should clear or update based on new data
             st.rerun()
@@ -171,157 +100,71 @@ def main():
     # Display loop
     for msg in st.session_state.messages:
         if isinstance(msg, HumanMessage):
-            with st.chat_message("user"):
-                st.markdown(msg.content)
+            with st.chat_message("user"): st.markdown(msg.content)
         elif isinstance(msg, AIMessage):
             with st.chat_message("assistant"):
-                ai_content = msg.content
-                structured_output = None
-                try:
-                    # JSON Parsing logic...
+                ai_content = msg.content; structured_output = None
+                try: # JSON Parsing logic...
                     json_match = re.search(r"```json\s*(\{.*?\})\s*```", ai_content, re.DOTALL | re.IGNORECASE)
-                    if json_match:
-                        json_str = json_match.group(1)
-                        prefix = ai_content[:json_match.start()].strip()
-                        suffix = ai_content[json_match.end():].strip()
-                        if prefix:
-                            st.markdown(prefix)
-                        structured_output = json.loads(json_str)
-                        if suffix:
-                            st.markdown(suffix)
-                    elif ai_content.strip().startswith("{") and ai_content.strip().endswith("}"):
-                        structured_output = json.loads(ai_content)
-                        ai_content = ""
-                    else:
-                        st.markdown(ai_content)  # Display non-JSON content
-                except Exception as e:
-                    st.markdown(ai_content)
-                    print(f"Error parsing/displaying AI JSON: {e}")
-
-                if structured_output and isinstance(structured_output, dict):
-                    # Structured JSON display logic...
-                    st.divider()
-                    st.subheader("📊 AI Analysis & Recommendations")
-                    cols = st.columns(2)
-                    with cols[0]:
-                        st.markdown("**Assessment:**")
-                        st.markdown(f"> {structured_output.get('assessment', 'N/A')}")
-                        st.markdown("**Differential Diagnosis:**")
-                        ddx = structured_output.get('differential_diagnosis', [])
-                        if ddx:
-                            for item in ddx:
-                                likelihood = item.get('likelihood', 'Low')
-                                if likelihood and likelihood[0] in 'HML':
-                                    medal = "🥇" if likelihood[0] == 'H' else "🥈" if likelihood[0] == 'M' else "🥉"
-                                else:
-                                    medal = "?"
-                                expander_title = f"{medal} {item.get('diagnosis', 'Unknown')} ({likelihood})"
-                                with st.expander(expander_title):
-                                    st.write(f"**Rationale:** {item.get('rationale', 'N/A')}")
-                        else:
-                            st.info("No DDx provided.")
-                        st.markdown("**Risk Assessment:**")
-                        risk = structured_output.get('risk_assessment', {})
-                        flags = risk.get('identified_red_flags', [])
-                        concerns = risk.get("immediate_concerns", [])
-                        comps = risk.get("potential_complications", [])
-                        if flags:
-                            st.warning(f"**Flags:** {', '.join(flags)}")
-                        if concerns:
-                            st.warning(f"**Concerns:** {', '.join(concerns)}")
-                        if comps:
-                            st.info(f"**Potential Complications:** {', '.join(comps)}")
-                        if not flags and not concerns:
-                            st.success("No major risks highlighted.")
-                    with cols[1]:
-                        st.markdown("**Recommended Plan:**")
-                        plan = structured_output.get('recommended_plan', {})
-                        for section in ["investigations", "therapeutics", "consultations", "patient_education"]:
-                            st.markdown(f"_{section.replace('_', ' ').capitalize()}:_")
-                            items = plan.get(section)
-                            if items and isinstance(items, list):
-                                for item in items:
-                                    st.markdown(f"- {item}")
-                            elif items:
-                                st.markdown(f"- {items}")
-                            else:
-                                st.markdown("_None_")
-                            st.markdown("")
-                        st.markdown("**Rationale & Guideline Check:**")
-                        st.markdown(f"> {structured_output.get('rationale_summary', 'N/A')}")
-                        interaction_summary = structured_output.get("interaction_check_summary", "")
-                        if interaction_summary:
-                            st.markdown("**Interaction Check Summary:**")
-                            st.markdown(f"> {interaction_summary}")
-                        st.divider()
+                    if json_match: json_str = json_match.group(1); prefix = ai_content[:json_match.start()].strip(); suffix = ai_content[json_match.end():].strip();
+                    if prefix: st.markdown(prefix); structured_output = json.loads(json_str);
+                    if suffix: st.markdown(suffix)
+                    elif ai_content.strip().startswith("{") and ai_content.strip().endswith("}"): structured_output = json.loads(ai_content); ai_content = ""
+                    else: st.markdown(ai_content) # Display non-JSON content
+                except Exception as e: st.markdown(ai_content); print(f"Error parsing/displaying AI JSON: {e}")
+                if structured_output and isinstance(structured_output, dict): # Structured JSON display logic...
+                    st.divider(); st.subheader("📊 AI Analysis & Recommendations")
+                    cols = st.columns(2);
+                    with cols[0]: st.markdown("**Assessment:**"); st.markdown(f"> {structured_output.get('assessment', 'N/A')}"); st.markdown("**Differential Diagnosis:**"); ddx = structured_output.get('differential_diagnosis', []);
+                    if ddx: [st.expander(f"{'🥇🥈🥉'[('High','Medium','Low').index(item.get('likelihood','Low')[0])] if item.get('likelihood','?')[0] in 'HML' else '?'} {item.get('diagnosis', 'Unknown')} ({item.get('likelihood','?')})").write(f"**Rationale:** {item.get('rationale', 'N/A')}") for item in ddx]
+                    else: st.info("No DDx provided."); st.markdown("**Risk Assessment:**"); risk = structured_output.get('risk_assessment', {}); flags=risk.get('identified_red_flags',[]); concerns=risk.get("immediate_concerns",[]); comps=risk.get("potential_complications",[])
+                    if flags: st.warning(f"**Flags:** {', '.join(flags)}"); if concerns: st.warning(f"**Concerns:** {', '.join(concerns)}"); if comps: st.info(f"**Potential Complications:** {', '.join(comps)}");
+                    if not flags and not concerns: st.success("No major risks highlighted.")
+                    with cols[1]: st.markdown("**Recommended Plan:**"); plan = structured_output.get('recommended_plan', {});
+                    for section in ["investigations","therapeutics","consultations","patient_education"]: st.markdown(f"_{section.replace('_',' ').capitalize()}:_"); items = plan.get(section); [st.markdown(f"- {item}") for item in items] if items and isinstance(items, list) else (st.markdown(f"- {items}") if items else st.markdown("_None_")); st.markdown("")
+                    st.markdown("**Rationale & Guideline Check:**"); st.markdown(f"> {structured_output.get('rationale_summary', 'N/A')}"); interaction_summary = structured_output.get("interaction_check_summary", "");
+                    if interaction_summary: st.markdown("**Interaction Check Summary:**"); st.markdown(f"> {interaction_summary}"); st.divider()
 
                 # Tool Call Display
                 if getattr(msg, 'tool_calls', None):
-                    with st.expander("🛠️ AI requested actions", expanded=False):
-                        if msg.tool_calls:
+                     with st.expander("🛠️ AI requested actions", expanded=False):
+                         if msg.tool_calls:
                             for tc in msg.tool_calls:
-                                try:
-                                    st.code(
-                                        f"Action: {tc.get('name', 'Unknown Tool')}\nArgs: {json.dumps(tc.get('args', {}), indent=2)}",
-                                        language="json"
-                                    )
-                                except Exception as display_e:
-                                    st.error(f"Could not display tool call args: {display_e}", icon="⚠️")
-                                    st.code(f"Action: {tc.get('name', 'Unknown Tool')}\nRaw Args: {tc.get('args')}")
-                        else:
-                            st.caption("_No actions requested._")
+                                try: st.code(f"Action: {tc.get('name', 'Unknown Tool')}\nArgs: {json.dumps(tc.get('args', {}), indent=2)}", language="json")
+                                except Exception as display_e: st.error(f"Could not display tool call args: {display_e}", icon="⚠️"); st.code(f"Action: {tc.get('name', 'Unknown Tool')}\nRaw Args: {tc.get('args')}")
+                         else: st.caption("_No actions requested._")
         elif isinstance(msg, ToolMessage):
             tool_name_display = getattr(msg, 'name', 'tool_execution')
             with st.chat_message(tool_name_display, avatar="🛠️"):
-                try:
-                    # Tool message display logic...
-                    tool_data = json.loads(msg.content)
-                    status = tool_data.get("status", "info")
-                    message = tool_data.get("message", msg.content)
-                    details = tool_data.get("details")
-                    warnings = tool_data.get("warnings")
+                try: # Tool message display logic...
+                    tool_data = json.loads(msg.content); status = tool_data.get("status", "info"); message = tool_data.get("message", msg.content); details = tool_data.get("details"); warnings = tool_data.get("warnings");
                     # Display flagged risks immediately if the tool signals it
                     if tool_name_display == "flag_risk" and status == "flagged":
-                        st.error(f"🚨 **RISK FLAGGED:** {message}", icon="🚨")
-                    elif status in ["success", "clear"]:
-                        st.success(f"{message}", icon="✅")
-                    elif status == "warning":
-                        st.warning(f"{message}", icon="⚠️")
-                    else:
-                        st.error(f"{message}", icon="❌")
-                    if warnings and isinstance(warnings, list):
-                        st.caption("Details:")
-                        for warn in warnings:
-                            st.caption(f"- {warn}")
-                    if details:
-                        st.caption(f"Details: {details}")
-                except json.JSONDecodeError:
-                    st.info(f"{msg.content}")
-                except Exception as e:
-                    st.error(f"Error displaying tool message: {e}", icon="❌")
-                    st.caption(f"Raw content: {msg.content}")
+                         st.error(f"🚨 **RISK FLAGGED:** {message}", icon="🚨") # Show flag in UI too
+                    elif status == "success" or status == "clear": st.success(f"{message}", icon="✅")
+                    elif status == "warning": st.warning(f"{message}", icon="⚠️");
+                    if warnings and isinstance(warnings, list): st.caption("Details:"); [st.caption(f"- {warn}") for warn in warnings]
+                    else: st.error(f"{message}", icon="❌") # Assume error if not known status
+                    if details: st.caption(f"Details: {details}")
+                except json.JSONDecodeError: st.info(f"{msg.content}") # Display raw if not JSON
+                except Exception as e: st.error(f"Error displaying tool message: {e}", icon="❌"); st.caption(f"Raw content: {msg.content}")
 
     # --- Chat Input Logic ---
     if prompt := st.chat_input("Your message or follow-up query..."):
-        if not st.session_state.patient_data:
-            st.warning("Please load patient data first.")
-            st.stop()
-        if 'agent' not in st.session_state or not st.session_state.agent:
-            st.error("Agent not initialized. Check logs.")
-            st.stop()
+        if not st.session_state.patient_data: st.warning("Please load patient data first."); st.stop()
+        if 'agent' not in st.session_state or not st.session_state.agent: st.error("Agent not initialized. Check logs."); st.stop()
 
         # Append user message and display immediately
         user_message = HumanMessage(content=prompt)
         st.session_state.messages.append(user_message)
-        with st.chat_message("user"):
-            st.markdown(prompt)
+        with st.chat_message("user"): st.markdown(prompt)
 
         # Prepare state for the agent
         current_state_dict = {
             "messages": st.session_state.messages,
             "patient_data": st.session_state.patient_data,
             "summary": st.session_state.get("summary"),
-            "interaction_warnings": None  # Start clean
+            "interaction_warnings": None # Start clean
         }
 
         # Invoke the agent's graph for one turn
@@ -345,8 +188,7 @@ def main():
         st.rerun()
 
     # Disclaimer
-    st.markdown("---")
-    st.warning("**Disclaimer:** SynapseAI is for demonstration...")
+    st.markdown("---"); st.warning("**Disclaimer:** SynapseAI is for demonstration...")
 
 if __name__ == "__main__":
-    main()
+    main()