update

app.py

@@ -1,8 +1,10 @@
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch
 
-tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
-model = AutoModelForSequenceClassification.from_pretrained("bert-base-uncased")
+# 加载微调的模型和tokenizer
+model_name = "distilbert-base-uncased-finetuned-sst-2-english"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
 
 def classify_text(text):
     inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True)