Update app.py

app.py

@@ -76,7 +76,7 @@ class SpeechAnalyzer:
         self.ner_model = AutoModelForTokenClassification.from_pretrained("dslim/bert-base-NER")
         self.ner_pipeline = pipeline("ner", model=self.ner_model, tokenizer=self.ner_tokenizer)
 
-    def split_text(self, text, max_length=512, overlap=50):
+    def split_text(self, text, max_length=256, overlap=50):
         """Split long text into overlapping segments"""
         words = text.split()
         segments = []