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import io
from fastapi import FastAPI, File, UploadFile
import subprocess
import os
import requests
import random
import shutil
import json
# from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
from pydantic import BaseModel
from typing import Annotated
from fastapi import Form
import selenium
from selenium import webdriver
from selenium.webdriver import ChromeOptions
from selenium.webdriver.chrome.service import Service
import threading
import random
import string
import time
# from selenium.webdriver.firefox.options import Options
# options = FirefoxOptions()
# options.headless = True
# service = Service()
# driver = webdriver.Firefox(options= options,service=service)
# driver.get("https://yuntian-deng-chatgpt.hf.space/")
options = ChromeOptions()
options.add_argument('--no-sandbox')
options.add_argument('-headless')
service = Service()
driver = webdriver.Chrome(options= options,service=service)
# driver.get("https://yuntian-deng-chatgpt.hf.space/")
class Query(BaseModel):
text: str
host:str
from fastapi import FastAPI, Request, Depends, UploadFile, File
from fastapi.exceptions import HTTPException
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=['*'],
allow_credentials=True,
allow_methods=['*'],
allow_headers=['*'],
)
# cred = credentials.Certificate('key.json')
# app1 = firebase_admin.initialize_app(cred)
# db = firestore.client()
# data_frame = pd.read_csv('data.csv')
@app.on_event("startup")
async def startup_event():
print("on startup")
from selenium.webdriver.common.by import By
@app.post("/")
async def get_answer(q: Query ):
text = q.text
host= q.host
N = 20
res = ''.join(random.choices(string.ascii_uppercase +
string.digits, k=N))
res= res+ str(time.time())
id= res
t = threading.Thread(target=do_ML, args=(id,text,host,0))
t.start()
dict= {"id":id}
return JSONResponse(dict)
def do_ML(id:str,text:str,host:str, trycount:int):
try:
starttime=time.time()
driver.get("https://talkai.info/chat/")
time.sleep(3+trycount)
textarea = driver.find_element(By.CSS_SELECTOR, "textarea")
textarea.send_keys(text)
time.sleep(1+trycount)
button = driver.find_element(By.CLASS_NAME, "sectionChatFormButton")
button.click()
prev =""
time.sleep(2)
while True:
time.sleep(2+trycount)
currtime= time.time()
if(currtime>starttime+600):
data=data={"id":id,"result":"","status":"Error"}
x= requests.post(host,data= data)
return
messages = driver.find_elements(By.CLASS_NAME, 'messageContain')
last_message_contain = messages[len(messages)-2]
value = last_message_contain.text
value = value[8:len(value)]
if value=="Please, wait...":
continue
if prev!="":
if value==prev:
data={"id":id,"result":value,"status":"Generated"}
driver.delete_all_cookies()
requests.post(host, data=data)
break
prev= value
data=data={"id":id,"result":value,"status":"Generating --keep refreshing"}
x= requests.post(host,data= data)
print(x.text)
except:
driver.delete_all_cookies()
if trycount>3:
data=data={"id":id,"result":"","status":"Error"}
x= requests.post(host,data= data)
return
do_ML(id,text,host,trycount+1)
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