Update handler.py

handler.py

@@ -41,7 +41,7 @@ class EndpointHandler:
         return features / features.norm(dim=-1, keepdim=True)
 
     def _get_text_embeddings(self, texts: List[str]) -> torch.Tensor:
-        inputs = self.processor(text=texts, padding="max_length", return_tensors="pt").to(self.device)
+        inputs = self.processor(text=texts, padding="max_length", truncation=True, return_tensors="pt").to(self.device)
         with torch.no_grad():
             features = self.model.get_text_features(**inputs)
         return features / features.norm(dim=-1, keepdim=True)