Update app.py
Browse files
app.py
CHANGED
@@ -6,6 +6,7 @@ import os
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import requests
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import random
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import shutil
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import json
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# from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
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@@ -86,267 +87,6 @@ async def startup_event():
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@app.post("/")
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async def get_answer(request: Request ):
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data = await request.json()
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text = data['text']
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host= ''
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temperature=-1
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try:
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temperature= data['temperature']
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temperature= float(temperature)
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temperature= round(temperature,1)
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except:
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print("No temperature")
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# N = 20
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# res = ''.join(random.choices(string.ascii_uppercase +
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# string.digits, k=N))
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# res= res+ str(time.time())
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id= ''
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# t = threading.Thread(target=do_ML, args=(id,text,host,0))
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# t.start()
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temperature= temperature*2
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res= do_ML(id,text,host,0,temperature)
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dict={"ChatGPT":res}
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# dict= {"id":id}
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return JSONResponse(dict)
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def do_ML(id:str,text:str,host:str, trycount:int,temperature:float):
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starttime=time.time()
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options = ChromeOptions()
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options.add_argument('--no-sandbox')
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options.add_argument('-headless')
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service = Service()
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driver = webdriver.Chrome(options= options,service=service)
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driver.get("https://talkai.info/chat/")
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try:
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if temperature>=0 and temperature<=2:
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try:
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print("setting temperature ",temperature)
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while True:
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currtime= time.time()
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if(currtime>starttime+10):
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return "Requested Could not be proceed"
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try:
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setting_button = driver.find_element(By.ID, "openSettings")
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setting_button.click()
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break
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except:
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time.sleep(0.2)
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while True:
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currtime= time.time()
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if(currtime>starttime+10):
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return "Requested Could not be proceed"
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try:
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input_element = driver.find_element(By.CLASS_NAME,"styled-slider")
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new_value = temperature
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driver.execute_script("arguments[0].value = arguments[1]", input_element, new_value)
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break
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except:
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time.sleep(0.2)
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while True:
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currtime= time.time()
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if(currtime>starttime+10):
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return "Requested Could not be proceed"
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try:
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confirm_button = driver.find_element(By.CLASS_NAME, "settingsButtonConfirm")
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confirm_button.click()
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break
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except:
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time.sleep(0.2)
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except:
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print("could not set temperature")
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while True:
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currtime= time.time()
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if(currtime>starttime+10):
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return "Requested Could not be proceed"
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try:
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textarea = driver.find_element(By.CSS_SELECTOR, "textarea")
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textarea.send_keys(text)
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button = driver.find_element(By.CLASS_NAME, "sectionChatFormButton")
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button.click()
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break
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except:
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time.sleep(0.2)
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prev =""
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# time.sleep(2)
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while True:
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time.sleep(0.5)
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# currtime= time.time()
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if(currtime>starttime+120):
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driver.delete_all_cookies()
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driver.quit()
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return "Requested Could not be proceed"
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value=""
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try:
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messages = driver.find_elements(By.CLASS_NAME, 'messageContain')
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last_message_contain = messages[len(messages)-2]
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value = last_message_contain.text
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value = value[8:len(value)]
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print(value)
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if value=="Please, wait...":
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continue
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except:
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continue
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driver.delete_all_cookies()
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driver.quit()
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return value
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except:
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print("Error")
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driver.delete_all_cookies()
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if trycount>1:
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return
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driver.quit()
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return do_ML(id,text,host,trycount+1)
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@app.post("/image")
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async def get_answer(q: Query ):
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text = q.text
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host= q.host
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# N = 20
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# res = ''.join(random.choices(string.ascii_uppercase +
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# string.digits, k=N))
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# res= res+ str(time.time())
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id= ''
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# t = threading.Thread(target=do_ML2, args=(id,text,host,0))
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# t.start()
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url = do_ML2(id,text,host,0)
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dict= {"url":url}
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# dict= {"id":id}
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return JSONResponse(dict)
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def do_ML2(id:str,text:str,host:str, trycount:int):
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starttime=time.time()
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options = ChromeOptions()
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options.add_argument('--no-sandbox')
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options.add_argument('-headless')
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service = Service()
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driver = webdriver.Chrome(options= options,service=service)
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driver.get("https://talkai.info/image/")
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try:
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while True:
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currtime= time.time()
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if(currtime>starttime+5):
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raise ValueError("h")
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# return "Requested Could not be proceed"
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try:
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textarea = driver.find_element(By.CSS_SELECTOR, "textarea")
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textarea.send_keys(text)
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time.sleep(0.1)
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button = driver.find_element(By.CLASS_NAME, "sectionChatFormButton")
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button.click()
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break
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except:
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time.sleep(0.2)
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# time.sleep(2)
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while True:
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currtime= time.time()
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if(currtime>starttime+40):
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raise ValueError("j")
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return "Requested Could not be proceed"
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time.sleep(0.2)
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# currtime= time.time()
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# if(currtime>starttime+18.5):
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try:
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messages = driver.find_elements(By.CLASS_NAME,"messageContain")
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x= messages[len(messages)-2]
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# Extract the text from the 'p' element within the 'div' with class 'messageContain'
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message_text = x.find_element(By.TAG_NAME,"p").text
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if message_text=='The request could not be processed':
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return "The request could not be processed"
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except Exception as e:
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print(e)
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pass
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# return "Request Could not be proceed"
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try:
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messages = driver.find_elements(By.XPATH, "//div[@class='messageContain']/p/img")
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last_message_contain = messages[len(messages)-2]
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src = last_message_contain.get_attribute("src")
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print(src)
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driver.delete_all_cookies()
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driver.quit()
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return src
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break
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except:
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continue
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except:
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print("Error")
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driver.delete_all_cookies()
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if trycount>2:
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return "Request Could not be proceed"
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driver.quit()
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return do_ML2(id,text,host,trycount+1)
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# LLAMA
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@@ -371,6 +111,7 @@ def do_ML_LLAMA(text:str, trycount:int):
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options = ChromeOptions()
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options.add_argument('--no-sandbox')
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options.add_argument('-headless')
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service = Service()
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driver = webdriver.Chrome(options= options,service=service)
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driver.get("https://ysharma-explore-llamav2-with-tgi.hf.space/")
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textarea_element.send_keys(text)
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button_id = 'component-
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button_element = driver.find_element(By.ID,button_id)
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button_element.click()
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break
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except Exception as e:
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print(e)
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# value=""
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try:
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div_element= div_element[-1]
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# Extract the text from the div element
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text =
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print("text from llama",text)
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if prev!="":
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@@ -425,7 +166,7 @@ def do_ML_LLAMA(text:str, trycount:int):
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except:
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pass
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driver.quit()
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return text
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prev= text
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import requests
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import random
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import shutil
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import json
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# from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
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# LLAMA
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options = ChromeOptions()
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options.add_argument('--no-sandbox')
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options.add_argument('-headless')
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options.add_argument("start-maximized")
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service = Service()
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driver = webdriver.Chrome(options= options,service=service)
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driver.get("https://ysharma-explore-llamav2-with-tgi.hf.space/")
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textarea_element.send_keys(text)
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button_id = 'component-8'
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button_element = driver.find_element(By.ID,button_id)
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button_element.click()
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# print("sent hii")
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break
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except Exception as e:
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print(e)
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# value=""
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try:
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element = driver.find_element(By.XPATH,'//div[@data-testid="bot" and contains(@class, "message bot")]')
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print(element.text)
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# Extract the text from the div element
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text = element.text
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print("text from llama",text)
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if prev!="":
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except:
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pass
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driver.delete_all_cookies()
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driver.quit()
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return text
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prev= text
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