Update app.py

app.py

@@ -40,7 +40,7 @@ def sentiment_analysis(sentence, model_name):
     model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-zh-en")
     
     translated_tokens = model.generate(
-         **tokenizer(src_text, return_tensors="pt", padding=True)
+         **tokenizer(sentences, return_tensors="pt", padding=True)
     )
     # for t in translated:
     # print( tokenizer.decode(t, skip_special_tokens=True) )