serve.py

from sklearn.externals import joblib
import web
from web import form
import os

myform = form.Form(
    form.Textarea("text")
)

render = web.template.render('templates/')

urls = (
    '/', 'hello',
    '/images/(.*)', 'images',
)
app = web.application(urls, globals())

clf = joblib.load('clf.pkl')

class hello:
    def GET(self):
        form = myform()
        return render.index(form, "", "")

    def POST(self):
        form = myform()
        text = ""
        result = ""
        if form.validates():
            text = form['text'].value
            predicted = clf.predict([text])
            result = predicted[0]

        return render.index(form, text, result)


class images:
    def GET(self, name):
        ext = name.split(".")[-1]  # Gather extension

        cType = {
            "png": "images/png",
            "jpg": "images/jpeg"
        }

        if name in os.listdir('images'):  # Security
            web.header("Content-Type", cType[ext])  # Set the Header
            return open('images/%s' % name, "rb").read()  # Notice 'rb' for reading images
        else:
            raise web.notfound()


if __name__ == "__main__":
    app.run()