Update main.py

main.py

@@ -12,11 +12,11 @@ tokenizer = AutoTokenizer.from_pretrained(model_name)
 # Create a sentiment analysis pipeline
 sentiment = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)
 
+
 # Create a dictionary to map sentiment labels to positive and negative strings
 sentiment_label_mapping = {
     "LABEL_1": "positive",
-    "LABEL_0": "negative",
-}
+    "LABEL_0": "negative",}
 
 # Define a request body model
 class SentimentRequest(BaseModel):