Canstralian
commited on
Update app.py
Browse files
app.py
CHANGED
@@ -1,31 +1,44 @@
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from transformers import pipeline
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import openai
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#
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exploit_detector = pipeline("text-classification", model="Canstralian/CySec_Known_Exploit_Analyzer")
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# Initialize OpenAI API (or Replit's API)
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openai.api_key = "your-openai-api-key"
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def detect_and_remediate(exploit_input):
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exploit_result = exploit_detector(exploit_input)
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if exploit_result[0]['label'] == "EXPLOIT_DETECTED":
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print("Exploit detected!")
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# Step 2: Generate remediation code
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remediation_prompt = f"Generate Python code to fix the following exploit: {exploit_input}"
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engine="code-davinci-002", # Or Replit's equivalent
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prompt=remediation_prompt,
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max_tokens=150
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)
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else:
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return "No exploit detected."
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from transformers import pipeline
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import openai
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# Initialize the exploit detection model
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exploit_detector = pipeline("text-classification", model="Canstralian/CySec_Known_Exploit_Analyzer")
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# Initialize OpenAI API (or Replit's API)
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openai.api_key = "your-openai-api-key" # Replace with your actual API key
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def detect_and_remediate(exploit_input):
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"""
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Detects an exploit in the input and generates remediation code if an exploit is found.
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Args:
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exploit_input (str): The code or log input that might contain an exploit.
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Returns:
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str: The remediation code or a message indicating no exploit was detected.
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"""
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# Step 1: Detect the exploit
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exploit_result = exploit_detector(exploit_input)
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if exploit_result[0]['label'] == "EXPLOIT_DETECTED":
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print("Exploit detected!")
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# Step 2: Generate remediation code
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remediation_prompt = f"Generate Python code to fix the following exploit: {exploit_input}"
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remediation_response = openai.Completion.create(
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engine="code-davinci-002", # Or Replit's equivalent code model
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prompt=remediation_prompt,
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max_tokens=150
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)
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# Extracting the generated remediation code
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remediation_code = remediation_response.choices[0].text.strip()
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return remediation_code
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else:
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return "No exploit detected."
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if __name__ == "__main__":
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# Example input: a piece of code or log indicating a vulnerability
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input_code = "Vulnerable code snippet here"
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remediation = detect_and_remediate(input_code)
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print("Remediation Code:", remediation)
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