Update app.py

app.py

@@ -13,6 +13,8 @@ from pypdf import PdfReader
 from sklearn.feature_extraction.text import TfidfVectorizer
 
 from openai import OpenAI
+from literature_explorer import build_literature_explorer_tab
+
 
 
 # =============================
@@ -830,6 +832,7 @@ def render_summary_card(record_id: str, records: List[Dict[str, Any]]) -> str:
     key_findings = _safe_str(row.get("key_findings", "")).strip()
     dose_metrics = _safe_str(row.get("dose_metrics", "")).strip()
     conclusion = _safe_str(row.get("conclusion", "")).strip()
+    risk_summary = _safe_str(row.get("risk_summary", "")).strip()
 
     # Keep compact
     def _clip(s: str, n: int = 380) -> str:
@@ -867,6 +870,10 @@ def render_summary_card(record_id: str, records: List[Dict[str, Any]]) -> str:
           <div style="font-weight:650;margin-bottom:4px;">Conclusion</div>
           <div style="color:#222;">{_clip(conclusion) if conclusion else "<span style='color:#666'>(not reported)</span>"}</div>
         </div>
+        <div>
+          <div style="font-weight:650;margin-bottom:4px;">Risk Summary</div>
+          <div style="color:#222;">{_clip(risk_summary) if risk_summary else "<span style='color:#666'>(not reported)</span>"}</div>
+        </div>
       </div>
     </div>
     """
@@ -1038,7 +1045,7 @@ def run_extraction(
 
                         for k in field_props.keys():
                             m = field_key_to_module.get(k, "Custom")
-                            include = (k in core_keys) or (m == module) or admin_mode
+                            include = (m == module) or admin_mode
                             if include:
                                 if k == "chemicals":
                                     row[k] = chem
@@ -1449,6 +1456,9 @@ with gr.Blocks(title="Toxicology PDF → Grounded Extractor") as demo:
             ]
         )
 
+    with gr.Tab("Literature Explorer"):
+    build_literature_explorer_tab()
+
     with gr.Tab("Cross-paper Synthesis"):
         gr.Markdown("Upload `extraction_details.json` from Extract tab. Synthesis is based strictly on grounded extractions.")
         api_key2 = gr.Textbox(label="OpenAI API key (optional if set as OPENAI_API_KEY secret)", type="password")