Simple Machine Learning Model Deployment with Flask in Python
Part 2 of how to deploy a machine learning model with Flask in Python.
Published in
2 min readJul 15, 2021
Send the data from the server file to the web page and display the data on the webpage.
We need to pass the data when we are rendering the HTML page from Python.
Now let’s see how to pass the string value from the server file.
Look at the below code “BasicFlask.py”
from flask import Flask, render_template, requestapp = Flask(__name__)
@app.route(‘/’)
def before_submit():
return render_template(‘BasicWeb.html’, data=”My data from the python file!!!…”)
if __name__ == ‘__main__’:
app.run(port=3000, debug=True)
The above script is passing the data as “My data from the python file!!!…”
Then we will make the change in the HTML file so that it can display it on the web page.
<!DOCTYPE html>
<html>
<head>
<title>Basic Flask HTML</title>
</style>
</head>
<body>
<h1>Hello World!!</h1>
<h2>{{ data }}</h2>
</body>
</html>{{ data }} will display any value that has been passed. “data” variable name has been passed from the server file.
Let’s see the output — what it looks like.
In the next part, we will see the conditions to use it in the HTML page, based on the data that is passed from server.
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