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import gradio as gr
import transformers
from transformers import BertTokenizer, DataCollatorWithPadding
from transformers import AutoModelForSequenceClassification
tokenizer = BertTokenizer.from_pretrained('huolongguo10/check_sec')
model = AutoModelForSequenceClassification.from_pretrained('huolongguo10/check_sec', num_labels=2)
import torch
def check(text):
with torch.no_grad():
logits = model(**inputs).logits
predicted_class_id = logits.argmax().item()
print(f'{logits.argmax().item()}:{text}')
return 'secure' if predicted_class_id==0 else 'insecure'
with gr.Blocks() as demo:
text = gr.Textbox(label="Text")
output = gr.Textbox(label="Output Box")
# org = gr.Textbox(label="By normal check")
greet_btn = gr.Button("Check!")
greet_btn.click(fn=check, inputs=text, outputs=output, api_name="check")
gr.Markdown('''# check_sec
检查web参数安全性,目前只支持xss
## 类型
```
LABEL_0: secure
LABEL_1: insecure(可能包含xss payload)
```
''')
# gr.Interface.load("models/huolongguo10/check_sec").launch()
demo.launch() |