app.py

import firebase_admin
# from firebase_admin import credentials
# from firebase_admin import firestore
from firebase_admin import credentials, initialize_app, storage
import io
from fastapi import FastAPI, File, UploadFile
from werkzeug.utils import secure_filename
# import speech_recognition as sr
import subprocess
import os
import requests
import random
import pandas as pd
from pydub import AudioSegment
from datetime import datetime
from datetime import date
import numpy as np
# from sklearn.ensemble import RandomForestRegressor
import shutil
import json
# from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
from pydantic import BaseModel
# from typing import Annotated
# from transformers import BertTokenizerFast, EncoderDecoderModel
# import torch
import re
# from transformers import AutoTokenizer, T5ForConditionalGeneration
from fastapi import Form
# from transformers import AutoModelForSequenceClassification
# from transformers import TFAutoModelForSequenceClassification
# from transformers import AutoTokenizer, AutoConfig
import numpy as np
import io
import requests
import time
import json
import asyncio
import time
from pymongo.mongo_client import MongoClient
import threading

   


from fastapi import FastAPI, Request, Depends, UploadFile, File
from fastapi.exceptions import HTTPException
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse


# now = datetime.now()


# UPLOAD_FOLDER = '/files'
# ALLOWED_EXTENSIONS = {'txt', 'pdf', 'png',
#                       'jpg', 'jpeg', 'gif', 'ogg', 'mp3', 'wav'}


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')

c=0

@app.on_event("startup")
async def startup_event():
    print("on startup")
    t = threading.Thread(target=do_ping)  # Pass parameters to func2
    t.start()
    t1 = threading.Thread(target=do_delete)  # Pass parameters to func2
    t1.start()

   


@app.get("/")
async def get_answer( ):

    url = 'https://open-ai-ping-eight.vercel.app/'
    
    
    
    
    return "ping"


    
def do_delete():
    url = 'https://audiospace-1-u9912847.deta.app/delete'

    while True:
        try:

            print("inside vercel ping ")
            x = requests.get(url,timeout=19)
            print(x.text)
            time.sleep(1800)
        except:
            continue
    
def do_ping():
    # url = 'https://open-ai-ping-eight.vercel.app/'
    # url1 = 'https://open-ai-ping-eight.vercel.app/1'
    # url2 = 'https://open-ai-ping-eight.vercel.app/2'
    urls= ['https://ping_deta-1-a5162851.deta.app/',
          'https://ping_deta-1-a5162851.deta.app/1',
          'https://ping_deta-1-a5162851.deta.app/11',
          'https://ping_deta-1-a5162851.deta.app/2',
          'https://ping_deta-1-a5162851.deta.app/3',
          'https://ping_deta-1-a5162851.deta.app/4']

    while True:
        try:

            print("inside vercel ping ")
            for url in urls:
                requests.get(url)
            
            time.sleep(60)
            print("ping done")
        except:
            continue