Delete services/services

services/services/bot_bert.py

@@ -1,91 +0,0 @@
-# =========================
-# 🤖 BOT DETECTION (BERT)
-# =========================
-
-from transformers import pipeline
-
-# =========================
-# LOAD MODEL (SAFE)
-# =========================
-try:
-    bot_model = pipeline(
-        "text-classification",
-        model="unitary/toxic-bert",   # ringan & cepat
-        device=-1  # CPU (HF aman)
-    )
-    print("✅ BERT bot model loaded")
-
-except Exception as e:
-    print("⚠️ BERT model gagal load:", e)
-    bot_model = None
-
-
-# =========================
-# 🔥 FALLBACK RULE-BASED
-# =========================
-def fallback_bot_detection(text):
-    score = 0
-
-    if len(text) < 20:
-        score += 1
-
-    if text.count("!") > 2:
-        score += 1
-
-    if len(set(text.split())) < 4:
-        score += 1
-
-    if text.isupper():
-        score += 1
-
-    label = "Bot" if score >= 2 else "Human"
-
-    return {
-        "text": text,
-        "score": score / 4,
-        "label": label,
-        "method": "fallback"
-    }
-
-
-# =========================
-# 🔥 MAIN FUNCTION
-# =========================
-def detect_bot_bert(texts):
-    results = []
-
-    # 🔥 jika model gagal → fallback semua
-    if bot_model is None:
-        print("⚠️ fallback mode aktif")
-        return [fallback_bot_detection(t) for t in texts[:20]]
-
-    try:
-        for t in texts[:20]:
-
-            # batasi panjang (biar tidak error)
-            t_clean = t[:512]
-
-            res = bot_model(t_clean)[0]
-
-            score = float(res["score"])
-
-            # interpretasi label
-            if res["label"].lower() in ["toxic", "toxic"]:
-                label = "Bot" if score > 0.6 else "Human"
-            else:
-                label = "Human"
-
-            results.append({
-                "text": t,
-                "score": round(score, 3),
-                "label": label,
-                "method": "bert"
-            })
-
-        return results
-
-    except Exception as e:
-        print("❌ BERT inference error:", e)
-
-        # fallback kalau inference gagal
-        return [fallback_bot_detection(t) for t in texts[:20]]