Quickstart Modified

README.md

@@ -166,13 +166,6 @@ class TurnDetector:
 
         probabilities = self._softmax(logits[0])
         predicted_label = np.argmax(probabilities)
-        print(f"Logits: {logits[0]}")
-        print(f"Probabilities:")
-        print(f"  Not End of Turn: {probabilities[0]:.1%}")
-        print(f"  End of Turn:     {probabilities[1]:.1%}")
-        print(f"Predicted Label: {predicted_label}")
-        print(f"Confidence: {probabilities[predicted_label]:.1%}")
-        print(f"Confidence (class=1): {np.max(probabilities):.1%}")
         confidence = float(np.max(probabilities))
 
         return predicted_label, confidence
@@ -189,7 +182,7 @@ if __name__ == "__main__":
     
     sentences = [
         "Die Stadt hatte im Jahr 1962 81.400 Einwohner.",      # Expected: End of Turn
-        "Katalanisch ist die am zweitmeisten gesprochene Sprache.", # Expected: Not End of Turn
+        "Katalanisch ist die am zweitmeisten gesprochene.", # Expected: Not End of Turn
     ]
     
     for sentence in sentences: