Create app.py

app.py

@@ -0,0 +1,31 @@
+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)