Deploy dark UI + per-section feedback + schema guards

app.py

@@ -69,6 +69,37 @@ def to_jsonable(obj):
         return None  # avoid serializing images; skip in JSON
     return obj
 
+# ---------------------------------------------------------------------------
+# Feedback persistence helper (CSV; optionally include section label)
+# ---------------------------------------------------------------------------
+def save_feedback(assessment, notes, results_json_str, section="overall"):
+    try:
+        parsed = json.loads(results_json_str) if results_json_str else {}
+    except Exception:
+        parsed = {"raw": results_json_str}
+    entry = {
+        "timestamp": datetime.utcnow().isoformat(),
+        "section": section or "",
+        "assessment": assessment or "",
+        "notes": notes or "",
+        "results": parsed,
+    }
+    import csv
+    fieldnames = ["timestamp", "section", "assessment", "notes", "results"]
+    file_exists = os.path.exists("feedback_logs.csv")
+    with open("feedback_logs.csv", "a", newline="", encoding="utf-8") as f:
+        writer = csv.DictWriter(f, fieldnames=fieldnames)
+        if not file_exists:
+            writer.writeheader()
+        writer.writerow({
+            "timestamp": entry["timestamp"],
+            "section": entry.get("section", ""),
+            "assessment": entry["assessment"],
+            "notes": entry["notes"],
+            "results": json.dumps(entry["results"]),
+        })
+    return "✅ Feedback saved. (Stored in feedback_logs.csv)"
+
 # ============================================================================
 # Configuration
 # ============================================================================
@@ -942,36 +973,7 @@ with gr.Blocks(title="Receipt Processing Agent", theme=gr.themes.Soft(), css=CUS
         inputs=[input_image],
         outputs=[agent_summary, ocr_image_output, ocr_text_output, results_json, feedback_summary]
     )
-
-
-def save_feedback(assessment, notes, results_json_str, section="overall"):
-    try:
-        parsed = json.loads(results_json_str) if results_json_str else {}
-    except Exception:
-        parsed = {"raw": results_json_str}
-    entry = {
-        "timestamp": datetime.utcnow().isoformat(),
-        "section": section or "",
-        "assessment": assessment or "",
-        "notes": notes or "",
-        "results": parsed,
-    }
-    # Append to local CSV; safe for Spaces ephemeral storage
-    import csv
-    fieldnames = ["timestamp", "section", "assessment", "notes", "results"]
-    file_exists = os.path.exists("feedback_logs.csv")
-    with open("feedback_logs.csv", "a", newline="", encoding="utf-8") as f:
-        writer = csv.DictWriter(f, fieldnames=fieldnames)
-        if not file_exists:
-            writer.writeheader()
-        writer.writerow({
-            "timestamp": entry["timestamp"],
-            "section": entry.get("section", ""),
-            "assessment": entry["assessment"],
-            "notes": entry["notes"],
-            "results": json.dumps(entry["results"]),
-        })
-    return "✅ Feedback saved. (Stored in feedback_logs.csv)"
+    
 
 submit_feedback.click(
     fn=save_feedback,
@@ -987,6 +989,8 @@ if __name__ == "__main__":
         server_name="0.0.0.0",
         server_port=7860,
         show_error=True,
-        show_api=False,  # disable API schema generation to avoid json_schema crash
+        # keep API enabled; json_schema traversal is guarded by the gradio_client
+        # monkeypatch above (_safe_get_type / _safe_json_schema_to_python_type)
+        show_api=True,
     )