def __init__(self):
session_state = get(
app_config=False,
login_info={'password': ""},
cur_page_idx=0,
)
self.login_info = session_state.login_info
self.create_pages()
self.create_side_bar()
self.pages_dict = {page.name: page for page in self.pages}
self.page_names = [page.name for page in self.pages]
self.page_titles = [page.title for page in self.pages]
self.cur_page = self.pages[session_state.cur_page_idx]
self.cur_page_title = self.page_titles[session_state.cur_page_idx]
self.cur_page_idx = session_state.cur_page_idx
if session_state.app_config:
self.load_config(session_state.app_config)
else:
self.start()
self.render()
session_state.app_config = self.get_config()
session_state.login_info = self.login_info
session_state.cur_page_idx = self.cur_page_idx
def __init__(self):
self.state = get(firebase=None,
auth=None,
db=None,
loggedIn=False,
user=None,
fName=None)
self._connect_to_api()
def check_password():
session_state = get(password='')
if session_state.password != str(PWD):
pwd_placeholder = st.sidebar.empty()
pwd = pwd_placeholder.text_input("Password:"******"",
type="password")
session_state.password = pwd
if session_state.password == str(PWD):
pwd_placeholder.empty()
return True
elif session_state.password != '':
st.error("the password you entered is incorrect")
return False
else:
return True
def authenticate(url='http://heroku.com'):
client = GoogleOAuth2(client_id, client_secret)
authorization_url = asyncio.run(
write_authorization_url(client=client, redirect_uri=redirect_uri))
session_state = get(token=None)
if session_state.token is None:
try:
code = st.experimental_get_query_params()['code']
except:
st.write(f'''
<h1>
Please login here: <a target="_self"
href="{authorization_url}">Login</a></h1>
''',
unsafe_allow_html=True)
else:
try:
token = asyncio.run(
write_access_token(client=client,
redirect_uri=redirect_uri,
code=code))
except:
st.write(f'''
<h1>
This account is not allowed or page was refreshed.
Please try again: <a target="_self"
href="{authorization_url}">Login</a></h1>
''',
unsafe_allow_html=True)
else:
if token.is_expired():
if token.is_expired():
st.write(f'''<h1>
Login session has ended, please log in again: <a target="_self"
href="{authorization_url}">Login</a></h1>
''')
else:
session_state.token = token
initialize()
else:
initialize()
su.post_matches(my_session, my_user_df, match_df,
my_channel_id)
st.write("Updating history.")
su.update_history(match_df, my_history_file)
st.write("Done!")
st.write("Thanks for using Bagel Bot! Goodbye!")
else:
st.write("Please select a channel!")
if __name__ == '__main__':
session_state = get(password='')
if session_state.password != 'T0p_S3cr3t':
pwd_placeholder = st.sidebar.empty()
pwd = pwd_placeholder.text_input("Password:"******"",
type="password")
session_state.password = pwd
if session_state.password == 'pwd123':
pwd_placeholder.empty()
main()
elif session_state.password != '':
st.error("the password you entered is incorrect")
else:
main()
import altair as alt
import pandas as pd
import requests
from SessionState import get
import streamlit as st
session_state = get(token='')
def get_played_tracks(token):
response = requests.get('http://localhost:8000/user/played-tracks',
headers={
'Content-Type': 'accept: application/json',
'Authorization': f'Bearer {token}'
})
played_tracks = response.json()
played_tracks = pd.DataFrame(played_tracks)
played_tracks['track'] = played_tracks['track'].apply(
lambda x: x.get('name'))
return played_tracks
def get_tracks(token):
response = requests.get('http://localhost:8000/user/tracks',
headers={
'Content-Type': 'accept: application/json',
'Authorization': f'Bearer {token}'
})
tracks = response.json()
tracks = pd.DataFrame(tracks)
def get_input_img():
uploaded_file = st.file_uploader("Choose a file", type=['png', 'jpg'])
if uploaded_file:
pos = Image.open(uploaded_file)
cols = st.beta_columns(5)
with cols[2]:
st.image(pos, use_column_width=True)
return uploaded_file
# STREAMLIT PAGE
params = {'get_prediction': False, 'file_name': ''}
session_state = get(**params)
'''
# The Posture Wizard
'''
st.markdown(
""" Find the best exercises to fix your upper body part posture """)
st.markdown("""
- Upload a side picture of yourself
- Our wizard will then determine your posture
- Finally you will be suggested exercises based on your posture
""")
st.markdown(""" # Step One """)
st.markdown("""Upload a side view of your posture""")
uploaded_file = get_input_img()
import streamlit as st
import os
import pandas as pd
from SessionState import get
from PIL import Image
session_state = get(username='', password='', is_active=False)
default_pwd = "123"
def main():
st.subheader("Hello, " + session_state.username + "! :smile:")
st.info("Get started by answering some questions about your course in the sidebar")
st.sidebar.header("Step 1 - Upload your student data:")
file = st.sidebar.file_uploader("Upload a CSV file, max 200 MB", type='csv')
if file is not None:
my_DF = pd.read_csv(file)
st.write(my_DF)
st.sidebar.header("Step 2 - Tell us more about your course's structure:")
# Yes/No questions, some will prompt for more information
graded_attendance = st.sidebar.checkbox(label='Graded attendance')
lecture_online = st.sidebar.checkbox(label='Lecture materials are uploaded')
supp_readings = st.sidebar.checkbox(label='Supplemental readings available')
practice_exams = st.sidebar.checkbox(label='Practice exams available')
course_calendar = st.sidebar.checkbox(label='Course calendar available')
lecture_quizzes = st.sidebar.checkbox(label='In-class quizzes')
quiz_count = 0 if not lecture_quizzes else st.sidebar.number_input(label="Quiz count", min_value=1)
import streamlit as st
from datetime import date
#from session_state import get_state
import pandas as pd
import yfinance as yf
from fbprophet import Prophet
from fbprophet.plot import plot_plotly, plot_components_plotly
from plotly import graph_objs as go
#from streamlit.script_request_queue import RerunData
#from streamlit.script_runner import RerunException
from SessionState import get
empty_df = pd.DataFrame(
columns=['Date', 'Open', 'High', 'Low', 'Close', 'Adj Close', 'Volume'])
session_state = get(data=empty_df,
prediction_years=1,
fitted_m='',
stock_name='None')
st.set_page_config(
page_icon="🧊",
layout="wide",
)
START = "2015-01-01"
TODAY = date.today().strftime("%Y-%m-%d")
st.title('NIFTY 100 Stocks Price Forecast App')
list_df = pd.read_csv('ind_nifty100list.csv')
kk = list_df['Symbol']
new_list = list()
