Hi,
I've tried to follow along your great work. As one of the open todos is to create a web service, I tried but failed miserably. I haven't understood yet how to predict a disease on a given symptom.
What I have is really just a boilerplate. Could you lead me in the right direction? Any help is greatly appreciated.
from flask import Flask, session, render_template, request
app = Flask(__name__)
import json
from sklearn.naive_bayes import GaussianNB
import numpy as np
import pickle as pkl
from sklearn.externals import joblib
model = joblib.load(open('mnb.pkl'))
@app.route("/", methods = ['POST','GET'])
def main():
if request.method == 'POST':
pass
if 'prediction' in session:
return render_template('index.html', prediction=session['prediction'])
return render_template('index.html')
@app.route("/prediction/results", methods = ['POST'])
def predict():
symptom = float(request.form['symptom'])
Hi, I've tried to follow along your great work. As one of the open todos is to create a web service, I tried but failed miserably. I haven't understood yet how to predict a disease on a given symptom.
What I have is really just a boilerplate. Could you lead me in the right direction? Any help is greatly appreciated.