Spaces:
Sleeping
Sleeping
import streamlit as st | |
from transformers import pipeline | |
from PIL import Image | |
#st.write('importing selenium') | |
# import selenium | |
# from selenium import webdriver | |
# from selenium.webdriver.common.by import By | |
# from selenium.webdriver.common.keys import Keys | |
pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog") | |
driver = webdriver.Chrome() | |
driver.get('https://www.nseindia.com/all-reports-derivatives#cr_deriv_equity_archives') | |
# Maximize Window | |
driver.maximize_window() | |
driver.implicitly_wait(10) | |
date_elements = driver.find_elements(By.XPATH,"//button[@aria-label='Datepicker button']") | |
date_elements[0].click() | |
# st.title("Hot Dog? Or Not?") | |
# file_name = st.file_uploader("Upload a hot dog candidate image") | |
# if file_name is not None: | |
# col1, col2 = st.columns(2) | |
# image = Image.open(file_name) | |
# col1.image(image, use_column_width=True) | |
# predictions = pipeline(image) | |
# col2.header("Probabilities") | |
# for p in predictions: | |
# col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%") |