Error running ungraded assignment W1

Course Q&A TensorFlow: Data and Deployment Specialization Browser-based Models with TensorFlow.js
1

Hello reader,

I’m getting the following error while running the code for iris classifier:
image

The code that create the error is :

<html>
<head></head>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@latest"></script>
<script lang="js">
        async function run(){
            
            const csvUrl = "file://C:/Users/ayyap/Desktop/tensorflow-2-public-main/tensorflow-2-public-main/C1_Browser-based-TF-JS/W1/ungraded_labs/data/iris.csv";
            
            const trainingData = tf.data.csv(
                csvUrl,
                {
                columnConfigs: {
                        sepalLength: {
                          type: 'float32'
                        },
                        sepalWidth: {
                          type: 'float32'
                        },
                        petalLength: {
                          type: 'float32'
                        },
                        petalWidth: {
                          type: 'float32'
                        },
                        species: {
                          type: 'string',
                          isLabel:true
                        }
                      }
                }
//                {
//                    columnConfigs: {
//                        species: {
//                            isLabel: true
//                        }
//                    }
//                }
            );
            
            const numOfFeatures = (await trainingData.columnNames()).length-1;
            
            const numOfSamples = 150;
            
            const convertedData = 
                  trainingData.map(({xs,ys})=>{
                      const labels = [
                          ys.species == "setosa" ? 1: 0,
                          ys.species == "virginica"?1:0,
                          ys.species == "versicolor"?1:0
                      ]
                      
                      return {xs:Object.values(xs),ys:Object.values(labels)};
                  }).batch(10);
            
            const model = tf.sequential();
            model.add(tf.layers.dense({inputShape: [numOfFeatures], activation: "sigmoid", units: 5}));
            model.add(tf.layers.dense({acivation: "softmax", units: 3}));
            model.compile({loss: "categoricalCrossentropy", optimizer: tf.train.adam(0.06)});
            
            await model.fitDataset(
                convertedData,
                {
                    epochs: 100,
                    callbacks: {
                        onEpochEnd: async(epoch,logs) => {
                            console.log("Epoch: "+epoch+"Loss: "+logs.loss);
                        }
                    }
                }
            );
            
            const testVal = tf.tensor2d([4.4,2.9,1.4,0.2],[1,4]);
            const prediction = model.predict(testVal);
            alert(prediction)
        }
        run();
    
    
    
    </script>
</html>

When I try to use the webserver, it is showing as outdated and also without using file:// it is throwing server responded 404 file not found!. Now that error is gone and the new error above is coming. Please help. Thanks in advance.