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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
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':
f = request.json['filepath']
data = []
with open(f) as file:
csvfile = csv.reader(file)
for row in csvfile:
data.append(row)
data = pd.DataFrame(data)
print(data)
return render_template('data.html', data = data.to_html(header=False, index=False))
app.run()
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