Update app.py

app.py

@@ -2,9 +2,22 @@ import re
 import gradio as gr
 from transformers import pipeline
 import os
+import logging
 
+# ======================
+# ENV + LOGGING
+# ======================
 os.environ["GRADIO_ANALYTICS_ENABLED"] = "False"
 
+logging.basicConfig(
+    filename="debug.log",
+    level=logging.INFO,
+    format="%(asctime)s | %(message)s"
+)
+
+def log(msg):
+    logging.info(msg)
+
 # ======================
 # MODEL (LOAD SEKALI)
 # ======================
@@ -93,7 +106,7 @@ def rating_usia(kategori):
     return 0
 
 # ======================
-# CORE ANALYSIS
+# CORE ANALYSIS + DEBUG
 # ======================
 def analyze_text(judul, isi):
     kalimat = split_kalimat(isi)
@@ -101,7 +114,12 @@ def analyze_text(judul, isi):
 
     detected = set()
 
+    log("=" * 80)
+    log(f"JUDUL: {judul}")
+
     for w in windows:
+        log(f"\n[WINDOW]\n{w}")
+
         for kategori, desc in SEMANTIC_EVENT.items():
             res = classifier(
                 w,
@@ -110,21 +128,39 @@ def analyze_text(judul, isi):
             )
             score = max(res["scores"])
 
+            log(f"  - kategori: {kategori}")
+            log(f"    score: {round(score, 3)} | threshold: {THRESHOLD[kategori]}")
+
             if score < THRESHOLD[kategori]:
+                log("    ❌ FAIL: threshold")
                 continue
 
             if score < 0.60:
-                if event_completeness(w) < 2:
+                completeness = event_completeness(w)
+                metaphor = is_metaphor(w)
+
+                log(f"    completeness: {completeness}")
+                log(f"    metaphor: {metaphor}")
+
+                if completeness < 2:
+                    log("    ❌ FAIL: event completeness")
                     continue
-                if is_metaphor(w):
+
+                if metaphor:
+                    log("    ❌ FAIL: metaphor")
                     continue
 
+            log("    ✅ ACCEPTED")
             detected.add(kategori)
 
+    log(f"\nFINAL KATEGORI: {list(detected)}")
+    log(f"RATING USIA: {rating_usia(detected)}")
+    log("=" * 80)
+
     return rating_usia(detected), ", ".join(sorted(detected))
 
 # ======================
-# GRADIO UI + API
+# GRADIO UI (TIDAK DIUBAH)
 # ======================
 demo = gr.Interface(
     fn=analyze_text,
@@ -139,10 +175,13 @@ demo = gr.Interface(
     title="READEAR — Semantic Content Rating"
 )
 
+# ======================
+# ENTRY POINT (STABIL HF)
+# ======================
 if __name__ == "__main__":
     demo.launch(
         server_name="0.0.0.0",
-        server_port=7860,   # HF default
+        server_port=7860,
         ssr_mode=False,
         show_error=True
     )