Update backend.py

backend.py

@@ -3,10 +3,10 @@ from transformers import AutoModelForSequenceClassification, AutoTokenizer
 from peft import PeftModel, PeftConfig
 
 # Load model and tokenizer only once at startup
-config = PeftConfig.from_pretrained("rabindra-sss/sentiment-distilbert/")
+config = PeftConfig.from_pretrained("rabindra-sss/sentiment-distilbert")
 base_model = AutoModelForSequenceClassification.from_pretrained("distilbert-base-uncased")
-model = PeftModel.from_pretrained(base_model, "rabindra-sss/sentiment-distilbert/", config=config)
-tokenizer = AutoTokenizer.from_pretrained("rabindra-sss/sentiment-distilbert/")
+model = PeftModel.from_pretrained(base_model, "rabindra-sss/sentiment-distilbert", config=config)
+tokenizer = AutoTokenizer.from_pretrained("rabindra-sss/sentiment-distilbert")
 
 # Ensure model is in evaluation mode for inference
 model.eval()