Update app.py

app.py

@@ -0,0 +1,30 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the pre-trained model
+code_analyzer = pipeline("text-classification", model="huggingface/codebert-base-vulnerability-detection")
+
+# Function to analyze code snippets
+def analyze_code(code_snippet):
+    result = code_analyzer(code_snippet)
+    if result[0]["label"] == "VULNERABLE":
+        return (
+            f"⚠️ Potential Issue Detected: {result[0]['label']} "
+            f"(Confidence: {result[0]['score']:.2f})\n"
+            "💡 Suggestion: Avoid using unsafe practices like 'eval'. Replace it with safer alternatives."
+        )
+    else:
+        return "✅ Code appears secure!"
+
+# Gradio interface setup
+interface = gr.Interface(
+    fn=analyze_code,
+    inputs="text",
+    outputs="text",
+    title="Secure Code Reviewer",
+    description="Paste a code snippet to analyze for vulnerabilities."
+)
+
+# Launch the interface
+if __name__ == "__main__":
+    interface.launch()