fix typo

app.py

@@ -7,7 +7,7 @@ tokenizer=BertTokenizer.from_pretrained('IDEA-CCNL/Erlangshen-Roberta-330M-Senti
 model=BertForSequenceClassification.from_pretrained('IDEA-CCNL/Erlangshen-Roberta-330M-Sentiment')
 
 def predict(input_text):
-    predictions = model(torch.tensor([tokenizer.encode(text)]))
+    predictions = model(torch.tensor([tokenizer.encode(input_text)]))
     predictions=torch.nn.functional.softmax(predictions.logits,dim=-1)
     return input_text, {p["label"]: p["score"] for p in predictions}