import gradio as gr import selenium from selenium import webdriver from selenium.webdriver.common.keys import Keys from selenium.common.exceptions import NoSuchElementException from selenium.webdriver import Chrome, ChromeOptions import time import pandas as pd from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.common.by import By from selenium.webdriver.support.ui import WebDriverWait from time import sleep from webdriver_manager.chrome import ChromeDriverManager global name global password global topic def login_and_work(username_text, password_text, topic_text): #options = webdriver.ChromeOptions() #options.add_argument('--headless') #options.add_argument('--no-sandbox') # options.add_argument('--disable-dev-shm-usage') # options.use_chromium = True driver = webdriver.Chrome(ChromeDriverManager().install()) driver.get('https://twitter.com/i/flow/login') time.sleep(5) username = driver.find_element("xpath",'//input[@name="text"]') username.send_keys(username_text) driver.find_element("xpath",'(//*[@role="button"])[3]').click() # in prevoius block try: time.sleep(10) y = driver.find_element("xpath",'//h1//span') if(y.text =='Enter your phone number or username'): username2 = driver.find_element("xpath",'//input[@name="text"]') username2.send_keys(username_text) driver.find_element("xpath",'(//*[@role="button"])[2]').click() except: x = 10 password = driver.find_element("xpath",'//input[@name="password"]') password.send_keys(password_text) driver.find_element("xpath",'(//*[@role = "button"])[4]').click() try: driver.maximize_window() time.sleep(5) driver.maximize_window() search = driver.find_element("xpath",'//input[@placeholder="Search"]') search.send_keys(Keys.CONTROL + "a") search.send_keys(Keys.DELETE) search.send_keys(topic_text) search.send_keys(Keys.RETURN) df = pd.DataFrame() df['Name']='' df['Tweet'] = '' #df['Sentiment'] = '' tweet_count = 6 i = 1 element = driver.find_element("xpath","//body") time.sleep(5) while True and i <= tweet_count: try: tweet_name = driver.find_element("xpath",f'(//*[@data-testid="User-Name"])[{i}]') df.loc[i, 'Name'] = tweet_name.text tweet_div = driver.find_element("xpath",f'(//*[@data-testid="tweetText"])[{i}]') if(tweet_div): #print(driver.find_element("xpath",'(//*[@data-testid="tweetText"])[1]').getText()) df.loc[i, 'Tweet'] = tweet_div.text i += 1 element.send_keys(Keys.PAGE_DOWN) time.sleep(5) except: time.sleep(5) tweet_name = driver.find_element("xpath",f'(//*[@data-testid="User-Name"])[{i}]') df.loc[i, 'Name'] = tweet_name.text tweet_div = driver.find_element("xpath",f'(//*[@data-testid="tweetText"])[{i}]') if(tweet_div): #print(driver.find_element("xpath",'(//*[@data-testid="tweetText"])[1]').getText()) df.loc[i, 'Tweet'] = tweet_div.text i += 1 element.send_keys(Keys.PAGE_DOWN) time.sleep(5) #model = tweetnlp.load_model('sentiment', multilingual=True) # Or `model = tweetnlp.Sentiment()` # for i in range(1,len(df)+1): # print("text is...", df.loc[i,'Tweet']) # #y = sentiment_pipeline(df.loc[i, 'Tweet']) # #print('label is..', y[0]['label']) # print('model sentiment is..', model.sentiment(df.loc[i, 'Tweet'])) # df.loc[i, 'Sentiment'] = str(model.sentiment(df.loc[i, 'Tweet'])) return df except Exception as e: x = 10 with gr.Blocks() as demo: name = gr.Textbox(label="Username") password = gr.Textbox(label="Password", type = 'password') topic= gr.Textbox(label="Topic") btn = gr.Button(value="Submit") btn.click(login_and_work, inputs=[name, password, topic], outputs= gr.Dataframe(headers=['Name', 'Tweet'])) demo.launch(share=True)