Ytukyg

I am trying to deploy a flask app with Heroku and I'm getting ModuleNotFoundError. I don't understand why because all of my modules are up-to-date. Does anybody know how to fix this error?

Here is the code that I am using. The code builds fine, I just can't seem to get the app to deploy correctly.

import pickle

from flask import Flask

from flask import request,jsonify,render_template,abort

import pandas as pd

from sklearn.externals import joblib

import json

import numpy as np

from importlib import util



app = Flask(__name__)



model = pickle.load(open("Final_Gait_Model.sav", "rb"))



@app.route('/')

def home():

    return render_template('index.html')



@app.route('/api', methods=['POST'])

def get_info_predict():



    features = 

    result = request.form



    L_Ank_Force_LHS = float(input('Left Ankle Force at LHS (N): '))

    features.append(L_Ank_Force_LHS)



    L_Ank_Moment_Z_LHS = float(input('Left Ankle Moment (Z-axis) at LHS (Nm): '))

    features.append(L_Ank_Moment_Z_LHS)



    L_Knee_Force_LHS = float(input('Left Knee Force at LHS (N): '))

    features.append(L_Knee_Force_LHS)



    L_Ank_Moment_Y_Stance=float(input('Left Ankle Moment (Y-axis) during stance (Nm): '))

    features.append(L_Ank_Moment_Y_Stance)



    L_Knee_Vel_Y_Stance=float(input('Left Knee Angular Velocity (Y-axis) during stance (deg/s): '))

    features.append(L_Knee_Vel_Y_Stance)



    L_Knee_Vel_Z_Stance=float(input('Left Knee Angular Velocity (Z-Axis) during stance (deg/s): '))

    features.append(L_Knee_Vel_Z_Stance)



    R_Ank_Moment_Y_Stance=float(input('Right Ankle Moment (Y-axis) during stance (Nm): '))

    features.append(R_Ank_Moment_Y_Stance)



    R_Knee_Vel_Y_Stance=float(input('Right Knee Angular Velocity (Y-axis) during stance (deg/s): '))

    features.append(R_Knee_Vel_Y_Stance)



    R_Knee_Vel_Z_Stance=float(input('Right Knee Angular Velocity (Z-axis) during stance (deg/s): '))

    features.append(R_Knee_Vel_Z_Stance)



    R_Ank_Force_RHS=float(input('Right Ankle Force at RHS (N): '))

    features.append(R_Ank_Force_RHS)



    R_Ank_Moment_Z_RHS=float(input('Right Ankle Moment (Z-axis) at RHS (Nm): '))

    features.append(R_Ank_Moment_Z_RHS)



    R_Knee_Force_RHS=float(input('Right Kneed Force at RHS (N): '))

    features.append(R_Knee_Force_RHS)



    features = input_to_one_hot(features)



    prediction = model.predict([features])[0]



    return json.dumps({'Injury Classisfication':prediction});





if __name__ == '__main__':

    app.run(port=8080, debug = True)