fix: set truncate to maximumlength of model input size

app.py

@@ -13,6 +13,8 @@ sentiment_task = pipeline("sentiment-analysis", model=model_path, tokenizer=mode
 @spaces.GPU
 def classify(query):
     torch_device = 0 if torch.cuda.is_available() else -1
+    tokenizer_kwargs = {'truncation':True,'max_length':512}
+
     sentiment_task = pipeline("sentiment-analysis", model=model_path, tokenizer=model_path, device=torch_device)
 
     request_type = type(query)
@@ -29,7 +31,7 @@ def classify(query):
 
     start_time = datetime.datetime.now()
     
-    result = sentiment_task(data, batch_size=128, top_k=3)
+    result = sentiment_task(data, batch_size=128, top_k=3, **tokenizer_kwargs)
 
     end_time = datetime.datetime.now()
     elapsed_time = end_time - start_time