Update app.py

app.py

@@ -1,8 +1,8 @@
 import feedparser
 from transformers import pipeline
 
-# DistilBERT modelini yükle (CPU üzerinde)
-model = pipeline("sentiment-analysis", model="distilbert-base-uncased", device=-1)
+# FinBERT modelini yükle (CPU kullanmak için device=-1)
+model = pipeline("sentiment-analysis", model="yiyanghkust/finbert-tone", device=-1)
 
 # Bitcoin haberleri için RSS feed URL'si
 rss_url = "https://news.google.com/rss/search?q=Bitcoin&hl=en-US&gl=US&ceid=US:en"
@@ -18,23 +18,24 @@ for entry in feed.entries:
     title = entry.title
     sentiment = model(title)[0]
 
-    # Etiketi puana çevir
+    # Etiketi puana çevir (POSITIVE = +1, NEGATIVE = -1, NEUTRAL = 0)
     label = sentiment['label'].upper()
+    score = sentiment['score']  # güven skorunu ağırlık olarak kullan
+
     if label == "POSITIVE":
-        score = 1
+        total_score += score  # ağırlıklı pozitif
     elif label == "NEGATIVE":
-        score = -1
+        total_score -= score  # ağırlıklı negatif
     else:
-        score = 0
+        total_score += 0  # nötr = 0
 
-    total_score += score
     count += 1
 
 # Ortalama skor hesapla
 average_score = total_score / count if count > 0 else 0
 
 # Long / Short / Neutral kararı
-threshold = 0.1
+threshold = 0.05  # küçük değişimleri nötr say
 if average_score > threshold:
     signal = "LONG 🟢"
 elif average_score < -threshold: