Update app.py

app.py

@@ -52,7 +52,7 @@ EXPLANATIONS = {
 }
 
 def custom_sentiment(text):
-inputs = sentiment_tokenizer(text, return_tensors=“pt”, truncation=True, padding=True)
+inputs = sentiment_tokenizer(text, return_tensors="pt", truncation=True, padding=True)
 with torch.no_grad():
 outputs = sentiment_model(**inputs)
 probs = torch.nn.functional.softmax(outputs.logits, dim=1)