Update README.md

README.md

@@ -102,12 +102,17 @@ classifier = pipeline("text-classification", model="bilalzafar/CBDC-Discourse")
 
 # Example sentences
 sentences = [
-    "The central bank launched a pilot project for CBDC cross-border settlement.",
-    "Programmability in CBDC allows conditional payments.",
-    "CBDC may increase risks of bank disintermediation."
+    "The central bank launched a pilot project for CBDC cross-border settlement.", # Process
+    "Programmability in CBDC allows conditional payments.", # Feature
+    "CBDC may increase risks of bank disintermediation." # Risk-Benefit
 ]
 
 # Predict
 for s in sentences:
     result = classifier(s, return_all_scores=False)[0]
-    print(f"{s}\n → {result['label']} (score={result['score']:.4f})\n")
+    print(f"{s}\n → {result['label']} (score={result['score']:.4f})\n")
+
+# Example output 
+# [{The central bank launched a pilot project for CBDC cross-border settlement. → Process (score=0.9989)}]
+# [{Programmability in CBDC allows conditional payments. → Feature (score=0.9991)}]
+# [{CBDC may increase risks of bank disintermediation. → Risk-Benefit (score=0.9986)}]