import gradio as gr import requests import os import numpy as np import pandas as pd import json import socket import huggingface_hub from huggingface_hub import Repository # from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, AutoModelForSequenceClassification from questiongenerator import QuestionGenerator import csv from urllib.request import urlopen import re as r qg = QuestionGenerator() HF_TOKEN = os.environ.get("HF_TOKEN") DATASET_NAME = "question_generation_T5_dataset" DATASET_REPO_URL = f"https://huggingface.co/datasets/pragnakalp/{DATASET_NAME}" DATA_FILENAME = "que_gen_logs.csv" DATA_FILE = os.path.join("que_gen_logs", DATA_FILENAME) DATASET_REPO_ID = "pragnakalp/question_generation_T5_dataset" print("is none?", HF_TOKEN is None) article_value = """Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University in California. Together they own about 14 percent of its shares and control 56 percent of the stockholder voting power through supervoting stock. They incorporated Google as a privately held company on September 4, 1998. An initial public offering (IPO) took place on August 19, 2004, and Google moved to its headquarters in Mountain View, California, nicknamed the Googleplex. In August 2015, Google announced plans to reorganize its various interests as a conglomerate called Alphabet Inc. Google is Alphabet's leading subsidiary and will continue to be the umbrella company for Alphabet's Internet interests. Sundar Pichai was appointed CEO of Google, replacing Larry Page who became the CEO of Alphabet.""" # REPOSITORY_DIR = "data" # LOCAL_DIR = 'data_local' # os.makedirs(LOCAL_DIR,exist_ok=True) try: hf_hub_download( repo_id=DATASET_REPO_ID, filename=DATA_FILENAME, cache_dir=DATA_DIRNAME, force_filename=DATA_FILENAME ) except: print("file not found") repo = Repository( local_dir="que_gen_logs", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN ) # def get_device_ip_address(): # if os.name == "nt": # result = "Running on Windows" # hostname = socket.gethostname() # ip_address = socket.gethostbyname(hostname) # return ip_address # elif os.name == "posix": # gw = os.popen("ip -4 route show default").read().split() # s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) # s.connect((gw[2], 0)) # ip_address = s.getsockname()[0] # gateway = gw[2] # host = socket.gethostname() # print("----->",ip_address) # return ip_address # else: # result['id'] = os.name + " not supported yet." # print(result) # return result def getIP(): ip_address = '' try: d = str(urlopen('http://checkip.dyndns.com/') .read()) return r.compile(r'Address: (\d+\.\d+\.\d+\.\d+)').search(d).group(1) except Exception as e: print("Error while getting IP address -->",e) return ip_address def get_location(ip_addr): location = {} try: ip=ip_addr req_data={ "ip":ip, "token":"pkml123" } url = "https://demos.pragnakalp.com/get-ip-location" # req_data=json.dumps(req_data) # print("req_data",req_data) headers = {'Content-Type': 'application/json'} response = requests.request("POST", url, headers=headers, data=json.dumps(req_data)) response = response.json() print("response======>>",response) return response except Exception as e: print("Error while getting location -->",e) return location def generate_questions(article,num_que): result = '' try: if num_que == None or num_que == '': num_que = 3 else: num_que = num_que generated_questions_list = qg.generate(article, num_questions=int(num_que)) summarized_data = { "generated_questions" : generated_questions_list } generated_questions = summarized_data.get("generated_questions",'') for q in generated_questions: print(q) result = result + q + '\n' save_data_and_sendmail(article,generated_questions,num_que) return result except Exception as e: return "Error while generating question -->" + str(e) """ Save generated details """ def save_data_and_sendmail(article,generated_questions,num_que): try: ip_address= getIP() print(ip_address) location = get_location(ip_address) print(location) add_csv = [article, generated_questions, num_que, ip_address,location] print("data^^^^^",add_csv) with open(DATA_FILE, "a") as f: writer = csv.writer(f) # write the data writer.writerow(add_csv) commit_url = repo.push_to_hub() print("commit data :",commit_url) url = 'https://pragnakalpdev35.pythonanywhere.com/HF_space_que_gen' # url = 'http://pragnakalpdev33.pythonanywhere.com/HF_space_question_generator' myobj = {'article': article,'total_que': num_que,'gen_que':generated_questions,'ip_addr':ip_address,'loc':location} x = requests.post(url, json = myobj) print("myobj^^^^^",myobj) # with open(DATA_FILE, "r") as file: # data = json.load(file) # data.append(entry) # with open(DATA_FILE, "w") as file: # json.dump(data, file) # commit_url = repo.push_to_hub() except Exception as e: return "Error while sending mail" + str(e) return "Successfully save data" ## design 1 inputs=gr.Textbox(value=article_value, lines=5, label="Input Text/Article",elem_id="inp_div") total_que = gr.Textbox(label="Number of questions to generate",elem_id="inp_div") outputs=gr.Textbox(lines=7, label="Generated Questions",elem_id="inp_div") demo = gr.Interface( generate_questions, [inputs,total_que], outputs, title="Question Generation Using T5-Base Model", css=".gradio-container {background-color: lightgray} #inp_div {background-color: #7FB3D5;}", article="""Feel free to give us your [feedback](https://www.pragnakalp.com/contact/) and contact us at [letstalk@pragnakalp.com]("mailto:letstalk@pragnakalp.com") if you want to have your own Questions-Generation using T5 model. We are just one click away. And don't forget to check out more interesting [NLP services](https://www.pragnakalp.com/services/natural-language-processing-services/) we are offering.

Developed by :[ Pragnakalp Techlabs](https://www.pragnakalp.com)

""" ) demo.launch(enable_queue = False)