add

.gitignore

@@ -1 +1,2 @@
-__pycache__/*
+__pycache__/*
+.venv/*

app.py

@@ -57,13 +57,14 @@ def analyze_logs(logs: str, source: str, use_retrieval: bool, use_nli: bool, ver
     verification_rows = [
         [v["hypothesis"], v["label"], round(v["score"], 3)] for v in res.verification
     ]
+    state_payload = serialize_result(res)
     return (
         format_incident_section(res),
         res.explanation,
         format_cause_section(res),
         retrieval_rows,
         verification_rows,
-        asdict(res),
+        state_payload,
         "Analysis completed.",
     )
 
@@ -71,15 +72,19 @@ def analyze_logs(logs: str, source: str, use_retrieval: bool, use_nli: bool, ver
 def ticket_template(state: Optional[Dict[str, Any]], logs: str) -> str:
     if not state:
         return "Run analysis first."
+    try:
+        parsed = json.loads(state) if isinstance(state, str) else state
+    except Exception:
+        return "State corrupted. Re-run analysis."
     clipped_logs = truncate_logs(logs, head_lines=30, tail_lines=10, max_lines=60)
-    checks = state.get("checks") or []
+    checks = parsed.get("checks") or []
     checks_md = "\n".join(f"- {c}" for c in checks)
-    summary = f"{state.get('incident_label','?')} — {state.get('explanation','')[:180]}"
+    summary = f"{parsed.get('incident_label','?')} — {parsed.get('explanation','')[:180]}"
     template = (
         f"Summary:\n{summary}\n\n"
         f"Steps to reproduce:\n- Describe sequence leading to error (fill in).\n- Attach failing request/sample data.\n\n"
         f"Expected:\n- Service handles request successfully.\n\n"
-        f"Actual:\n- {state.get('likely_cause','')}\n\n"
+        f"Actual:\n- {parsed.get('likely_cause','')}\n\n"
         f"Checks performed / next steps:\n{checks_md}\n\n"
         f"Logs snippet:\n{clipped_logs}\n"
     )
@@ -89,8 +94,8 @@ def ticket_template(state: Optional[Dict[str, Any]], logs: str) -> str:
 def export_json(state: Optional[Dict[str, Any]]):
     if not state:
         return None
-    # If state already dict, dump; otherwise try serialize_result.
-    data = json.dumps(state, ensure_ascii=False, indent=2)
+    # If state is dict, dump; if already JSON string, use as-is.
+    data = json.dumps(state, ensure_ascii=False, indent=2) if isinstance(state, dict) else state
     tmp = tempfile.NamedTemporaryFile("w", delete=False, suffix=".json", encoding="utf-8")
     tmp.write(data)
     tmp.flush()
@@ -100,7 +105,7 @@ def export_json(state: Optional[Dict[str, Any]]):
 
 with gr.Blocks(title="Log Compiler App") as demo:
     gr.Markdown("# Log Compiler App\nPaste logs/stacktrace to get incident classification, explanations, and runbook suggestions.")
-    state = gr.State()
+    state = gr.State("")
 
     with gr.Row():
         with gr.Column(scale=1):
@@ -160,7 +165,11 @@ with gr.Blocks(title="Log Compiler App") as demo:
 
 
 if __name__ == "__main__":
-    # Force share=True by default to avoid localhost access issues (HF Spaces/proxies).
     share_env = os.getenv("GRADIO_SHARE")
-    share_flag = True if share_env is None else share_env.lower() in ("1", "true", "yes")
+    in_hf_space = bool(os.getenv("SPACE_ID") or os.getenv("HF_SPACE"))
+    # In HF Spaces share must be False; locally set GRADIO_SHARE=1 to force.
+    if in_hf_space:
+        share_flag = False
+    else:
+        share_flag = True if share_env is None else share_env.lower() in ("1", "true", "yes")
     demo.launch(server_name="0.0.0.0", share=share_flag)