Update app.py

app.py

@@ -9,31 +9,25 @@ import re
 # -----------------------------
 english_model = pipeline(
     "sentiment-analysis",
-    model="cardiffnlp/twitter-roberta-base-sentiment-latest"
+    model="siebert/sentiment-roberta-large-english"
 )
 
 # Replace with your own fine-tuned models
 urdu_model = pipeline(
     "sentiment-analysis",
-    model="tahamueed23/urdu-roman-urdu-sentiment"
+    model="tahamueed23/fine_tuned_cardiffnlp_urdu_and_roman-urdu"
 )
 
 roman_urdu_model = pipeline(
     "sentiment-analysis",
-    model="tahamueed23/urdu-roman-urdu-sentiment"
+    model="tahamueed23/fine_tuned_cardiffnlp_urdu_and_roman-urdu"
 )
 
-# -----------------------------
-# CSV Setup
-# -----------------------------
 SAVE_FILE = "sentiment_logs.csv"
 if not os.path.exists(SAVE_FILE):
     df = pd.DataFrame(columns=["Sentence", "Language", "Sentiment", "Confidence"])
     df.to_csv(SAVE_FILE, index=False)
 
-# -----------------------------
-# Language Detection (simple rule-based)
-# -----------------------------
 def detect_language(text):
     urdu_chars = set("ابتثجحخدذرزسشصضطظعغفقکلمنوہیءآؤئۀ")
     if any(ch in urdu_chars for ch in text):