toolbench/toolenv/tools/Text_Analysis/bitext/api.py

import requests
import json
from datetime import date, datetime, timedelta
import os

from typing import Optional, Dict, Union, List


def sentiment_analysis(toolbench_rapidapi_key: str='088440d910mshef857391f2fc461p17ae9ejsnaebc918926ff'):
    """
    "Identify the topics of conversation and evaluate, extract and quantify the emotional state or attitude of your customers towards those topics with a polarity score value."
    
    """
    url = f"https://bitext.p.rapidapi.comsignup"
    querystring = {}
    
    headers = {
            "X-RapidAPI-Key": toolbench_rapidapi_key,
            "X-RapidAPI-Host": "bitext.p.rapidapi.com"
        }


    response = requests.get(url, headers=headers, params=querystring)
    try:
        observation = response.json()
    except:
        observation = response.text
    return observation

def entity_extraction(toolbench_rapidapi_key: str='088440d910mshef857391f2fc461p17ae9ejsnaebc918926ff'):
    """
    "Extract the relevant named entities (personal names, places, companies, addresses, dates, phone numbers, etc.)."
    
    """
    url = f"https://bitext.p.rapidapi.comsignup"
    querystring = {}
    
    headers = {
            "X-RapidAPI-Key": toolbench_rapidapi_key,
            "X-RapidAPI-Host": "bitext.p.rapidapi.com"
        }


    response = requests.get(url, headers=headers, params=querystring)
    try:
        observation = response.json()
    except:
        observation = response.text
    return observation

def language_identification(toolbench_rapidapi_key: str='088440d910mshef857391f2fc461p17ae9ejsnaebc918926ff'):
    """
    "Identify what language a text is written in, including multilingual text. Available in over 50 languages."
    
    """
    url = f"https://bitext.p.rapidapi.comsignup"
    querystring = {}
    
    headers = {
            "X-RapidAPI-Key": toolbench_rapidapi_key,
            "X-RapidAPI-Host": "bitext.p.rapidapi.com"
        }


    response = requests.get(url, headers=headers, params=querystring)
    try:
        observation = response.json()
    except:
        observation = response.text
    return observation

def lemmatization(toolbench_rapidapi_key: str='088440d910mshef857391f2fc461p17ae9ejsnaebc918926ff'):
    """
    "Identify all potential roots (lemmas) of each word, using morphological analysis and carefully-curated lexicons. Available in 15 languages."
    
    """
    url = f"https://bitext.p.rapidapi.comsignup"
    querystring = {}
    
    headers = {
            "X-RapidAPI-Key": toolbench_rapidapi_key,
            "X-RapidAPI-Host": "bitext.p.rapidapi.com"
        }


    response = requests.get(url, headers=headers, params=querystring)
    try:
        observation = response.json()
    except:
        observation = response.text
    return observation

def bot_assitant_services(toolbench_rapidapi_key: str='088440d910mshef857391f2fc461p17ae9ejsnaebc918926ff'):
    """
    "NLP solutions that will improve the performance your Customer Support chatbot and help you create the best automated Customer Support experience."
    
    """
    url = f"https://bitext.p.rapidapi.comsignup"
    querystring = {}
    
    headers = {
            "X-RapidAPI-Key": toolbench_rapidapi_key,
            "X-RapidAPI-Host": "bitext.p.rapidapi.com"
        }


    response = requests.get(url, headers=headers, params=querystring)
    try:
        observation = response.json()
    except:
        observation = response.text
    return observation