app.py

from flask import Flask, request, render_template
import pickle
import joblib
import numpy

app = Flask("Modelo Acciones")

@app.route('/', methods=['GET', 'POST'])
def main():
    
    # If a form is submitted
    if request.method == "POST":
        model = joblib.load("modelo_acciones.pkl")

        
        # Get values through input bars
        dias = int(request.form.get("dias"))
        try:
            dias = int(dias)
        except:
            dias = 1

                
        output = model.forecast(dias)
        prediction = []
        i=0
        for result in output:
            i+=1
            prediction.append("Precio de cierre dia " + str(i) +": US$" +  str(result))
        
    else:
        prediction = ""
        
    return render_template("website.html", outputs = prediction)

# Running the app
if __name__ == '__main__':
    app.run(debug = True)