from transformers import pipeline
import openai

# Load exploit detection model
exploit_detector = pipeline("text-classification", model="Canstralian/CySec_Known_Exploit_Analyzer")

# Initialize OpenAI API (or Replit's API)
openai.api_key = "your-openai-api-key"

def detect_and_remediate(exploit_input):
    # Step 1: Detect exploit
    exploit_result = exploit_detector(exploit_input)
    if exploit_result[0]['label'] == "EXPLOIT_DETECTED":
        print("Exploit detected!")

        # Step 2: Generate remediation code using Replit’s code model
        remediation_prompt = f"Generate Python code to fix the following exploit: {exploit_input}"
        remediation_code = openai.Completion.create(
            engine="code-davinci-002",  # Or Replit's equivalent
            prompt=remediation_prompt,
            max_tokens=150
        )

        return remediation_code.choices[0].text.strip()
    else:
        return "No exploit detected."

# Example input: a piece of code or log indicating a vulnerability
input_code = "Vulnerable code snippet here"
remediation = detect_and_remediate(input_code)
print(remediation)