| 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) |
| |
| return "Your response here" |
|
|
| @app.route("/avp", methods=["POST"]) |
| def avp(): |
| incoming = request.get_json() |
| print(incoming) |
| logging.debug(f"Incoming data: {incoming}") |
| |
| 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))) |