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import gradio as gr
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
import tweetnlp
from time import sleep
global name
global password
global topic
def login_and_work(username_text, password_text, topic_text):
options = ChromeOptions()
options.use_chromium = True
driver = Chrome()
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(10)
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(20)
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(10)
except:
time.sleep(10)
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(10)
#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()