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from copyreg import constructor
import flask
from flask import request, jsonify, render_template
from sklearn.preprocessing import LabelEncoder
import tensorflow as tf
import pandas as pd
import keras
import csv
import json
import mlservice
import h5py
from mlservice2 import unositok
app = flask.Flask(__name__)
app.config["DEBUG"] = True
@app.route('/', methods = ['GET', 'POST'])
def index():
return render_template('index.html')
@app.route('/data', methods = ['GET', 'POST'])
def data():
if request.method == 'POST':
print(request.json['filepath'])
f = request.json['filepath']
data1 = pd.read_csv(f)
d2=request.json['filepath2']
data2=pd.read_csv(d2)
m=request.json['modelpath']
model=tf.keras.models.load_model(m)
#print(data)
return unositok(data1,data2,request.json,model)
app.run()
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