File size: 1,130 Bytes
f18f04b
 
 
 
9d02916
fbd677a
f18f04b
 
9d02916
fbd677a
f18f04b
fbd677a
f18f04b
 
 
fbd677a
f18f04b
 
 
 
 
 
fbd677a
f18f04b
 
bbc0381
f18f04b
9d02916
fbd677a
 
 
9d02916
fbd677a
 
3de4a9a
bbc0381
fbd677a
f18f04b
13ca559
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
import flask
from flask import request, jsonify
import os
import json
import logging
import pandas as pd
from dotenv import load_dotenv
load_dotenv()
logging.basicConfig(level=logging.DEBUG, filename='debug.log', filemode='w')

app = flask.Flask(__name__, template_folder="./")

@app.route('/')
def index():
    return flask.render_template('index.html')

@app.route("/", methods=["POST"])
def predict():
    incoming = request.get_json()
    print(incoming)
    # Ваша логика обработки текста здесь
    return "Your response here"

@app.route("/avp", methods=["POST"])
def avp():
    incoming = request.get_json()
    print(incoming)
    logging.debug(f"Incoming data: {incoming}")
    # Изменение значений JSON-файла
    data = pd.DataFrame.from_dict(incoming, orient='index', columns=['value'])
    data['value'] -= 1
    logging.debug(f"Incoming data: {incoming}")
    data.loc[data['value'] < 0, 'value'] = 0
    response = data.to_dict()['value']

    return jsonify(response)

if __name__ == '__main__':
    app.run(host='0.0.0.0', port=int(os.environ.get('PORT', 7860)))