update app

app.py

@@ -13,8 +13,15 @@ def load_model():
 
 tokenizer, model, labels = load_model()
 
+MAX_LENGTH = 128  # Adjust as needed
+
 def analyze_sentiment(text):
-    inputs = tokenizer(text, return_tensors='pt', truncation=True)
+    inputs = tokenizer(
+        text,
+        return_tensors='pt',
+        truncation=True,
+        max_length=MAX_LENGTH
+    )
     with torch.no_grad():
         outputs = model(**inputs)
     probs = torch.nn.functional.softmax(outputs.logits, dim=-1)
@@ -22,6 +29,7 @@ def analyze_sentiment(text):
     confidence = torch.max(probs).item()
     return sentiment, confidence
 
+
 st.title('Multilingual Sentiment Analysis')
 
 text = st.text_area('Enter text in any language:')