How to Build a Predictive Machine Learning Site With React and Python (Part Three: Frontend Development)

const handleSubmit = (e) => {
    e.preventDefault()
    // Parameters
    const params = { gender, bsc, workex, etest_p, msc }
    axios
      .post('http://localhost:8080/prediction', params)
      .then((res) => {
        const data = res.data.data
        const parameters = JSON.stringify(params)
        const msg = `Prediction: ${data.prediction}\nInterpretation: ${data.interpretation}\nParameters: ${parameters}`
        alert(msg)
        reset()
      })
      .catch((error) => alert(`Error: ${error.message}`))
  }

import Glass from './components/Glass'
function App() {
  return (
    <div className="app">
      <Glass/>
    </div>
  );
}
export default App;