ankush-003 commited on
Commit
0e7f3ec
1 Parent(s): 5358eb6

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -11,7 +11,7 @@ from transformers import AutoTokenizer, TFAutoModelForSequenceClassification
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  tokenizer = AutoTokenizer.from_pretrained("distilbert-base-uncased")
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  model = TFAutoModelForSequenceClassification.from_pretrained("ankush-003/nosqli_identifier")
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- def predict(username, pwd, payload_text = None, label):
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  if(payload_text is None):
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  payload["username"] = username
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  payload["password"] = pwd
@@ -27,10 +27,10 @@ def predict(username, pwd, payload_text = None, label):
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  demo = gr.Interface(
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  fn=predict,
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  inputs=[gr.Textbox(label="Enter Username"),gr.Textbox(label="Enter Password"),
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- gr.Textbox(label="Enter Payload[optional]"),
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  gr.Dropdown(
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  ["Malitious", "Benign"], label="Expected", info="Enter expected value"
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- )],
 
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  outputs=[gr.Textbox(label="Model Prediction")]
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  )
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  demo.launch(debug=True)
 
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  tokenizer = AutoTokenizer.from_pretrained("distilbert-base-uncased")
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  model = TFAutoModelForSequenceClassification.from_pretrained("ankush-003/nosqli_identifier")
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+ def predict(username, pwd, label, payload_text = None):
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  if(payload_text is None):
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  payload["username"] = username
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  payload["password"] = pwd
 
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  demo = gr.Interface(
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  fn=predict,
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  inputs=[gr.Textbox(label="Enter Username"),gr.Textbox(label="Enter Password"),
 
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  gr.Dropdown(
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  ["Malitious", "Benign"], label="Expected", info="Enter expected value"
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+ ),
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+ gr.Textbox(label="Enter Payload[optional]")]
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  outputs=[gr.Textbox(label="Model Prediction")]
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  )
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  demo.launch(debug=True)