app.py

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)