Add meta-review tab, decision field, rebuild bundle with metareview/decision

app.py

@@ -16,15 +16,23 @@ def _get_api_key(user_key: str) -> str:
 def load_paper(paper_id: str):
     paper_id = (paper_id or "").strip()
     if not paper_id:
-        return gr.update(choices=[], value=None), "Please enter a paper ID.", ""
+        return gr.update(choices=[], value=None), "Please enter a paper ID.", "", ""
     try:
         paper = fetch_paper_reviews(paper_id)
         _paper_cache[paper_id] = paper
         reviewers = [r["reviewer_id"] for r in paper["reviews"]]
-        info = f"**{paper.get('title', paper_id)}**\n\n{paper.get('conference', '')} · {len(reviewers)} reviewer(s)"
-        return gr.update(choices=reviewers, value=reviewers[0] if reviewers else None), info, ""
+        decision = paper.get("decision", "")
+        info = f"**{paper.get('title', paper_id)}**\n\n{paper.get('conference', '')}"
+        if decision:
+            info += f"  ·  **Decision:** {decision}"
+        info += f"  ·  {len(reviewers)} reviewer(s)"
+
+        metareview = paper.get("metareview", "")
+        meta_md = f"**Area Chair Meta-Review:**\n\n{metareview}" if metareview else "*No meta-review available.*"
+
+        return gr.update(choices=reviewers, value=reviewers[0] if reviewers else None), info, meta_md, ""
     except Exception as e:
-        return gr.update(choices=[], value=None), f"Error: {e}", ""
+        return gr.update(choices=[], value=None), f"Error: {e}", "", ""
 
 
 def show_review(paper_id: str, reviewer_id: str):
@@ -113,24 +121,28 @@ with gr.Blocks(title="Review AI Rater", theme=gr.themes.Soft()) as demo:
     with gr.Row():
         paper_id_box = gr.Textbox(
             label="OpenReview Paper ID",
-            placeholder="e.g. B1e3OlStPB  (1000 Re² test papers available offline)",
+            placeholder="e.g. B1e3OlStPB",
             scale=3,
         )
         load_btn = gr.Button("Load Paper", variant="primary", scale=1)
 
     paper_info = gr.Markdown("")
 
-    with gr.Row():
-        reviewer_dd = gr.Dropdown(choices=[], label="Select Reviewer", interactive=True, scale=2)
-        rate_one_btn = gr.Button("AI Rate This Reviewer", variant="primary", scale=1)
-        rate_all_btn = gr.Button("AI Rate All Reviewers", variant="secondary", scale=1)
-
-    review_display = gr.Markdown("")
-    gr.Markdown("---")
-    gr.Markdown("### Rating Results")
-    result_display = gr.Markdown("")
-
-    load_btn.click(load_paper, [paper_id_box], [reviewer_dd, paper_info, result_display])
+    with gr.Tabs():
+        with gr.Tab("Reviews"):
+            with gr.Row():
+                reviewer_dd = gr.Dropdown(choices=[], label="Select Reviewer", interactive=True, scale=2)
+                rate_one_btn = gr.Button("AI Rate This Reviewer", variant="primary", scale=1)
+                rate_all_btn = gr.Button("AI Rate All Reviewers", variant="secondary", scale=1)
+            review_display = gr.Markdown("")
+            gr.Markdown("---")
+            gr.Markdown("### Rating Results")
+            result_display = gr.Markdown("")
+
+        with gr.Tab("Meta-Review"):
+            meta_display = gr.Markdown("*Load a paper to see the meta-review.*")
+
+    load_btn.click(load_paper, [paper_id_box], [reviewer_dd, paper_info, meta_display, result_display])
     reviewer_dd.change(show_review, [paper_id_box, reviewer_dd], [review_display])
     rate_one_btn.click(run_rating, [paper_id_box, reviewer_dd, api_key_box], [result_display])
     rate_all_btn.click(run_rating_all, [paper_id_box, api_key_box], [result_display])

bundle.json.gz

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8ae808201850b7abfd52f6a31354f51b40a8b82f3fc8f1a99535abde2088be9e
-size 93361107
+oid sha256:7e8d1c3d6bb3539a50da345f4f3010ece935d3d1a0ece0aaa985c58523cdd931
+size 102679294

fetcher.py

@@ -85,6 +85,8 @@ def _load_bundle():
             _bundle[pid] = {
                 "title": p.get("title", pid),
                 "conference": p.get("conf", ""),
+                "metareview": p.get("metareview", ""),
+                "decision": p.get("decision", ""),
                 "reviews": [
                     {
                         "reviewer_id": r["r"],