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41525d1
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Parent(s):
3a29600
Upload 2 files
Browse files- app 2.py +30 -0
- requirements 2.txt +2 -0
app 2.py
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import gradio as gr
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import transformers
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from transformers import BertTokenizer, DataCollatorWithPadding
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from transformers import AutoModelForSequenceClassification
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tokenizer = BertTokenizer.from_pretrained('huolongguo10/check_sec')
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model = AutoModelForSequenceClassification.from_pretrained('huolongguo10/check_sec', num_labels=2)
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import torch
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def check(text):
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inputs = tokenizer(text, return_tensors="pt")
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with torch.no_grad():
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logits = model(**inputs).logits
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predicted_class_id = logits.argmax().item()
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print(f'{logits.argmax().item()}:{text}')
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return 'secure' if predicted_class_id==0 else 'insecure'
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with gr.Blocks() as demo:
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text = gr.Textbox(label="Text")
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output = gr.Textbox(label="Output Box")
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# org = gr.Textbox(label="By normal check")
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greet_btn = gr.Button("Check!")
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greet_btn.click(fn=check, inputs=text, outputs=output, api_name="check")
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gr.Markdown('''# check_sec
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检查web参数安全性,目前只支持xss
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## 类型
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```
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LABEL_0: secure
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LABEL_1: insecure(可能包含xss payload)
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```
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''')
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# gr.Interface.load("models/huolongguo10/check_sec").launch()
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demo.launch()
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requirements 2.txt
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torch
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transformers
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