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from instabot import Bot | |
bot = Bot() | |
bot.login(username="", password="") | |
###### upload a picture ####### | |
bot.upload_photo("yoda.jpg", caption="biscuit eating baby") | |
###### follow someone ####### | |
bot.follow("elonrmuskk") |
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import requests | |
from bs4 import BeautifulSoup | |
def API(movieName): | |
url = f'https://omdbapi.com/?t={movieName}&apikey=APIKEY' ## get your own API key at https://omdbapi.com/ | |
res = requests.get(url) | |
data = res.json() | |
try: |
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import csv | |
import requests | |
web_status_dict = {"Website": "Status"} | |
def main(): | |
with open("sites.txt", "r") as fr: | |
for line in fr: | |
website = line.strip() | |
status = requests.get(website).status_code |
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import cv2 | |
import numpy as np | |
import pyautogui | |
# screen resolution | |
SCREEN_SIZE = tuple(pyautogui.size()) | |
# define the codec | |
fourcc = cv2.VideoWriter_fourcc('M','J','P','G') | |
# frames per second | |
fps = 12.0 |
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from openpyxl import Workbook, load_workbook | |
## loading previous workbook | |
wb = load_workbook('SampleData.xlsx') | |
## access the content from the active sheet | |
ws = wb.active | |
print(ws) | |
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from fastapi import FastAPI | |
from pydantic import BaseModel | |
import re | |
import uvicorn | |
import nltk | |
nltk.download('stopwords') | |
from nltk.corpus import stopwords | |
from nltk.stem.porter import PorterStemmer | |
import pickle |
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''' | |
Run Using `python app.py` | |
''' | |
import pickle | |
import re | |
import nltk | |
nltk.download('stopwords') | |
from nltk.corpus import stopwords | |
from nltk.stem.porter import PorterStemmer | |
import pickle |
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""" | |
Restaurant_Reviews | |
|____templates | |
|___index.html ## homepage file | |
|___result.html ## to show prediction | |
|____static | |
|____css | |
|____style.css ## css file | |
|____app.py ## main flask file | |
|____review.pkl ## ml model |
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mkdir -p ~/.streamlit/ echo "\ | |
[server]\n\ | |
port = $PORT\n\ | |
enableCORS = false\n\ | |
headless = true\n\ | |
\n\ | |
" > ~/.streamlit/config.toml |
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""" | |
streamlit run app.py | |
""" | |
import streamlit as st | |
import pickle | |
import re | |
import nltk | |
nltk.download('stopwords') | |
from nltk.corpus import stopwords |