Mik witchapong

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witchapong / rank_metrics.py

Created July 18, 2020 11:24

	def get_acc_at_k(df: pd.DataFrame, rank_col: str, target_col: str, k: int) -> float:
	'''
	rank_col: column of rank
	target_col: column of target metric (click, conversion, ctr, or cr)
	'''
	# filter only positive target (when a subject is clicked or purchased)
	df = df[df[target_col]>0]
	return ((df[rank_col]<=k).astype(int).values * df[target_col].values).sum()\
	/ df[target_col].values.sum() * 100

witchapong / intent-classifier.py

Created May 15, 2020 04:49

	from flask import Flask, request, jsonify
	from flask_restful import Api, Resource, reqparse
	import pandas as pd
	import numpy as np
	import tensorflow_hub as hub
	import tensorflow_text
	import boto3
	import json
	import os

witchapong / intents.json

Created May 15, 2020 00:45

	{
	"intents": [
	{
	"id": 1,
	"value": "product_query",
	"responses": [
	{
	"id": 6,
	"value": "มีสินค้าครับ",
	"intent_id": 1

witchapong / chatbot-chat2.py

Created May 14, 2020 10:10

	from flask import request, abort
	from flask_restful import Resource, reqparse
	import requests
	from models.response import ResponseModel
	from numpy.random import choice

	from linebot import (
	LineBotApi, WebhookHandler
	)
	from linebot.exceptions import (

witchapong / chatbot-chat1.py

Last active May 14, 2020 10:11

	from flask_restful import Resource, reqparse
	import requests
	from models.response import ResponseModel
	from numpy.random import choice

	class Chat(Resource):

	parser = reqparse.RequestParser()
	parser.add_argument('value',
	type=str,

witchapong / chatbot-resource2.py

Created May 14, 2020 04:47

	from flask_restful import Resource, reqparse
	from models.phrase import PhraseModel

	class Phrase(Resource):
	post_parser = reqparse.RequestParser()
	post_parser.add_argument('value',
	type=str,
	required=True,
	help="Example phrase of corresponded intent cannot be empty."
	)

witchapong / chatbot-resource1.py

Created May 14, 2020 04:22

	from flask_restful import Resource
	from models.intent import IntentModel
	import boto3
	import os
	import json

	BUCKET_NAME = os.environ.get('S3_BUCKET_NAME')

	class Intent(Resource):
	model = IntentModel

witchapong / chatbot-model2.py

Created May 14, 2020 03:34

	from db import db


	class PhraseModel(db.Model):
	__tablename__ = 'phrases'

	id = db.Column(db.Integer, primary_key=True)
	value = db.Column(db.String(200))

	intent_id = db.Column(db.Integer, db.ForeignKey('intents.id'))

witchapong / chatbot-model1.py

Created May 14, 2020 03:01

	from db import db


	class IntentModel(db.Model):
	__tablename__ = 'intents'

	id = db.Column(db.Integer, primary_key=True)
	value = db.Column(db.String(100))

	responses = db.relationship('ResponseModel', lazy='dynamic')

witchapong / chatbot-app.py

Created May 13, 2020 10:06

	from flask import Flask
	from flask_restful import Api

	from db import db
	from resources.intent import Intent, IntentList, PutToS3
	from resources.response import Response
	from resources.phrase import Phrase
	from resources.chat import Chat
	from resources.chat_line import LineChat

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