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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/")
# 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')
from selenium.webdriver.common.by import By
from pymongo.mongo_client import MongoClient
@app.on_event("startup")
async def startup_event():
print("on startup")
# t = threading.Thread(target=makeqimg)
# t.start()
# LLAMA
@app.post("/llama")
async def get_answer_llama(request: Request ):
data = await request.json()
text = data['text']
print("recived ",text)
res= do_ML_LLAMA(text,0)
dict={"LLAMA":res}
return JSONResponse(dict)
def do_ML_LLAMA(text:str, trycount:int):
starttime=time.time()
options = ChromeOptions()
options.add_argument('--no-sandbox')
options.add_argument('-headless')
options.add_argument("start-maximized")
service = Service()
driver = webdriver.Chrome(options= options,service=service)
driver.get("https://ysharma-explore-llamav2-with-tgi.hf.space/")
try:
while True:
currtime= time.time()
if(currtime>starttime+10):
return "Requested Could not be proceed"
try:
textarea_xpath = "//textarea[@data-testid='textbox' and @class='scroll-hide svelte-1kcgrqr' and @dir='ltr' and @placeholder='Type a message...']"
textarea_element = driver.find_element(By.XPATH,textarea_xpath)
textarea_element.send_keys(text)
button_id = 'component-8'
button_element = driver.find_element(By.ID,button_id)
button_element.click()
# print("sent hii")
break
except Exception as e:
print(e)
time.sleep(0.2)
prev =""
# time.sleep(2)
while True:
time.sleep(0.5)
# currtime= time.time()
if(currtime>starttime+120):
driver.delete_all_cookies()
driver.quit()
return "Requested Could not be proceed"
# value=""
try:
element = driver.find_element(By.XPATH,'//div[@data-testid="bot" and contains(@class, "message bot")]')
print(element.text)
# Extract the text from the div element
text = element.text
print("text from llama",text)
if prev!="":
try:
element_translucent = driver.find_element(By.XPATH,'//div[contains(@class, "translucent") and contains(@class, "generating")]')
continue
except:
pass
driver.delete_all_cookies()
driver.quit()
return text
prev= text
continue
except Exception as e:
print(e)
continue
return " --Error Occurred-- "
except:
print("Error")
if trycount>1:
return
driver.quit()
return do_ML_LLAMA(text,trycount+1)
########## MPT
@app.post("/mpt")
async def get_answer_mpt(request: Request ):
data = await request.json()
text = data['text']
print("recived ",text)
res= do_ML_MPT(text,0)
dict={"MPT":res}
return JSONResponse(dict)
def do_ML_MPT(text:str, trycount:int):
starttime=time.time()
options = ChromeOptions()
options.add_argument('--no-sandbox')
options.add_argument('-headless')
service = Service()
driver = webdriver.Chrome(options= options,service=service)
driver.get("https://mosaicml-mpt-30b-chat.hf.space")
try:
while True:
currtime= time.time()
if(currtime>starttime+10):
return "Requested Could not be proceed"
try:
textarea_xpath = "//textarea[@data-testid='textbox' and @class='scroll-hide svelte-1pie7s6' and @placeholder='Chat Message Box']"
textarea_element = driver.find_element(By.XPATH,textarea_xpath)
textarea_element.send_keys(text)
button_id = 'component-9' # Replace 'comonent-7' with the actual ID
button_element = driver.find_element(By.ID,button_id)
# Perform actions on the element (e.g., clicking the button)
button_element.click()
break
except Exception as e:
print(e)
time.sleep(0.2)
prev =""
# time.sleep(2)
while True:
time.sleep(0.5)
# currtime= time.time()
if(currtime>starttime+120):
driver.delete_all_cookies()
driver.quit()
return "Requested Could not be proceed"
# value=""
try:
element = driver.find_element(By.XPATH,'//div[@data-testid="bot" and contains(@class, "message bot")]')
x=(element.text)
print("From text ",x)
if x=="":
raise ValueError(" k")
driver.quit()
return x
except Exception as e:
print(e)
continue
driver.quit()
return " --Error Occurred-- "
except:
print("Error")
if trycount>1:
return
driver.quit()
return do_ML_MPT(text,trycount+1)
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