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from flask import Flask, render_template, request
import numpy as np
from opts import options
app = Flask(
__name__,
static_folder="static",
template_folder="templates",
)
def random_dataset(rows: int, features: int):
"""
Initializes a training and a testing dataset in the form of numpy arrays
"""
rng = np.random.default_rng()
X = rng.normal(size=(rows, features))
y = rng.integers(5, size=(rows, 1))
return X, y
@app.route("/")
def index():
return render_template("index.html")
@app.route("/process_algorithm", methods=["GET", "POST"])
def process_algorithm():
alg = request.form.get('model-select')
func = options[alg]
# have a form for options based on the algorithm the user chose
# and set it as the args variable, make a 'go' button for this funcitonality
# to start the algorithm
args = 0
if args:
# create random numpy array dataset
X, y = random_dataset(100, 3)
func(X, y, args)
if __name__ == '__main__':
app.run(debug=True)
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