update exmaples

app.py

@@ -8,9 +8,9 @@ description = "This is a space to predict complexity of Java code with [UniXcode
     a multilingual model for code, fine-tuned on [CodeComplex](https://huggingface.co/datasets/codeparrot/codecomplex), a dataset for complexity prediction of Java code."
 
 #add examples
-example = [
-    ['import java.io.*;\nimport java.util.*;\n\npublic class C125 {\n\tpublic static void main(String[] args) throws IOException {\n\t\tBufferedReader r = new BufferedReader(new InputStreamReader(System.in));\n\t\tString s = r.readLine();\n\t\tint n = new Integer(s);\n\t\tSystem.out.println("0 0 "+n);\n\t}\n}\n'],
-    ['import java.util.*;\n\npublic class ehab4 {\n    public static void main( String[] args ) {\n        Scanner in = new Scanner( System.in );\n\tint a = 0, b = 0;\n\tSystem.out.println( "? 0 0 " );\n\tSystem.out.flush();\n\tint c = in.nextInt();\n\tfor ( int i = 29; i >= 0; i-- ) {\n\t    System.out.println( "? " + ( a + ( 1 << i ) ) + " " + b );\n\t    System.out.flush();\n\t    int q1 = in.nextInt();\n\t    System.out.println( "? " + a + " " + ( b + ( 1 << i ) ) );\n\t    System.out.flush();\n\t    int q2 = in.nextInt();\n\t    if ( q1 == q2 ) {\n\t\tif ( c == 1 )\n\t\t    a += ( 1 << i );\n\t\telse if ( c == -1 )\n\t\t    b += ( 1 << i );\n\t\tc = q1;\n\t    }\n\t    else if ( q1 == -1 ) {\n\t\ta += ( 1 << i );\n\t\tb += ( 1 << i );\n\t    }\n\t    else if ( q1 == -2 )\n\t\treturn;\n\t}\n\tSystem.out.println( "! " + a + " " + b );\n\tSystem.out.flush();\n    }\n}\n']]
+example = [['int n = 1000;\nSystem.out.println("Hey - your input is: " + n);'],
+    ['class GFG {\n \n    public static void main(String[] args)\n    {\n        int i, n = 8;\n        for (i = 1; i <= n; i++) {\n            System.out.printf("Hello World !!!\n");\n        }\n    }\n}'],
+    ['import java.io.*;\nimport java.util.*;\n\npublic class C125 {\n\tpublic static void main(String[] args) throws IOException {\n\t\tBufferedReader r = new BufferedReader(new InputStreamReader(System.in));\n\t\tString s = r.readLine();\n\t\tint n = new Integer(s);\n\t\tSystem.out.println("0 0 "+n);\n\t}\n}\n']]
 
 # model to be changed to the finetuned one
 tokenizer = AutoTokenizer.from_pretrained("codeparrot/unixcoder-java-complexity-prediction")