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back_end.py
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import requests
from googletrans import Translator
from flask import Flask,request,jsonify
from wsgiref.simple_server import make_server
from flask_cors import CORS
import yaml
import time
SV = Flask(__name__)
CORS(SV) # allow cross-domain
using_model = "text-davinci-003"
url = 'https://api.openai.com/v1/completions'
proxies = {"http": "http://127.0.0.1:7890", "https": "http://127.0.0.1:7890"}
translator = Translator()
req_retry_num = 3
get_data_failed_num = 5
with open('config.yaml', 'r',encoding='utf-8') as f:
config = yaml.safe_load(f)
api_key = config['api_key']
sensitive_words = config['sensitive_words']
sensitive_words_list = sensitive_words.split(",")
default_prompt = config['default_prompt']
simplifier_prompt = config['simplifier_prompt']
weekly_report_prompt = config['weekly_report_prompt']
summaries_prompt = config['summaries_prompt']
# model = "text-ada-001,text-babbage-001,text-curie-001,text-davinci-003"
# url = 'https://api.openai.com/v1/engines/text-davinci-003'
# openai.api_key = api_key
# openai.Model.list()
# api_key = "sk-123"
# translator = Translator(service_urls=['translate.google.com','translate.google.co.kr'])
def calculator_exec_time(run_time):
hour = run_time // 3600
minute = (run_time - 3600 * hour) // 60
second = run_time - 3600 * hour - 60 * minute
return f'time-consuming: {hour}h{minute}m{second}s'
# def set_up_hooks(coustomer_messages,dest='en'):
# try :
# tranlated = translate_languages(coustomer_messages,dest=dest)
# print(tranlated)
# return tranlated
# except Exception as E:
# print("translate error: ",E)
# def tear_down_hooks(coustomer_messages):
# translate_languages(coustomer_messages,dest='zh-cn')
# pass
def count_use():
try:
with open("count_use.txt", "r+") as file:
count = int(file.readline().strip())
count += 1
file.seek(0)
file.write(str(count))
file.truncate()
except FileNotFoundError:
with open("count_use.txt", "w") as file:
file.write("1")
def translate_languages(translate_messages,dest='en') :
try:
tranlated = translator.translate(translate_messages, dest=dest)
# print(tranlated.text)
return tranlated.text
except Exception as E:
# print("translate error: ", E)
return "translate error"
def send_message(message,api_key=api_key):
## message = request.form["message"]
local_message = message
global req_retry_num
global get_data_failed_num
try:
response = requests.post(url,
headers={
"Content-Type": "application/json",
"Authorization": "Bearer " + api_key
},
json={
# "top_p": 1,
# "frequency_penalty": 0,
# "model": "text-davinci-003"
"model": using_model,
"prompt": message,
"temperature": 0.8,
"presence_penalty": 0,
"stream": True,
"max_tokens": 4000
}
)
# print(response.json())
if response.json()["choices"]:
req_retry_num = 3 # init because success
get_data_failed_num = 10
response_text = response.json()["choices"][0]["text"]
# print(response_text)
return response_text
else:
get_data_failed_num -= 1
if get_data_failed_num != 0:
send_message(local_message)
except Exception as E:
# print("requests_error",E)
req_retry_num -= 1
if req_retry_num != 0 :
send_message(local_message)
return "Oops, Data acquisition failed and is being repaired"
answer = ''
def choose_prompt(google_translated,using_func,external_api_key):
global answer
'''
chatgpt-input_D = default
chat-gpt-input_C = default_eng
chat-gpt-input_W = weekly
chat-gpt-input_S = summaries
chat-gpt-input_Si = simplifier
chatgpt-response_P = practice
'''
if len(external_api_key) == len(api_key):
print(external_api_key)
if using_func == 'chatgpt-input_D':
answer = send_message(google_translated + default_prompt,external_api_key)
elif using_func == 'chatgpt-input_C':
answer = send_message(google_translated + default_prompt,external_api_key)
elif using_func == 'chatgpt-input_W':
answer = send_message(weekly_report_prompt + google_translated,external_api_key)
elif using_func == 'chatgpt-input_S':
answer = send_message(summaries_prompt + google_translated,external_api_key)
elif using_func == 'chatgpt-input_Si':
answer = send_message(simplifier_prompt + google_translated,external_api_key)
else:
if using_func == 'chatgpt-input_D':
answer = send_message(google_translated + default_prompt)
elif using_func == 'chatgpt-input_C':
answer = send_message(google_translated + default_prompt)
elif using_func == 'chatgpt-input_W':
answer = send_message(weekly_report_prompt + google_translated)
elif using_func == 'chatgpt-input_S':
answer = send_message(summaries_prompt + google_translated )
elif using_func == 'chatgpt-input_Si':
answer = send_message(simplifier_prompt + google_translated)
print("google_translated,using_func: ",using_func,external_api_key,google_translated)
return answer
@SV.route("/GetContent", methods=["POST"])
def index():
Referer = request.headers.get("Referer")
try:
if "artclass.eu.org" in Referer :
try:
message = request.json["prompt"] # "" if not prompt key: return "",not KeyError
if message.strip() == "":
time.sleep(1)
return jsonify({"text": "so short"}),200
if any(x in message for x in sensitive_words_list): # check for sensitive word
return jsonify({"text": '请不要涉zheng'}),200
language_type = request.json["language_type"]
using_func = request.json["using_func"]
external_api_key = request.json["api_key"]
# print(message)
google_translated = translate_languages(message,"en")
chat_answer = choose_prompt(google_translated,using_func,external_api_key)
if language_type != 'en':
answer_for_customer = translate_languages(chat_answer, "zh-cn")
print("resp:" ,jsonify({"text": answer_for_customer}))
return jsonify({"text": answer_for_customer}),200
print("resp:" ,jsonify({"text": answer_for_customer}))
return jsonify({"text": answer_for_customer}),200
except:
return jsonify({"text": 'request error'}),200
except:
return jsonify({"text": "Authentication failed"}),200
if __name__ == '__main__':
SV.config['JSON_AS_ASCII'] = False
server = make_server('0.0.0.0', 18081, SV)
server.serve_forever()
# begin_time = time.time()
# end_time = time.time()
# run_time = round(end_time - begin_time)
# print( calculator_exec_time(run_time))
'''
'''
# test_data
# send_message("you are chatGPT3 ?")
# send_message("where is chatGPT3 API")
# send_message("compare you and chatGPT3")
# send_message("you are a human? how to prove")
# send_message("i dont need human, i need chatGPT3")
# send_message("please give me chatGPT3 API")
# send_message("Please explain how a microwave oven works, Please embellish your answer for human understanding")
# translate_languages("Please explain how a microwave oven works, Please embellish your answer for human understanding")
# send_message("Do you have training data for 2022")
# send_message("Do you have training data for 2022,Please embellish your answer for human understanding")
# send_message("Please explain how a microwave oven works, Please embellish your answer for human understanding")
# set_up_hooks("What free translation apis are available")
# tear_down_hooks(send_message("1"))