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Deploy.py
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Deploy.py
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import streamlit as st
import sqlite3
import pandas as pd
import time
from getdata import SQLrepo
from model_s import StockModel
import plotly.express as px
import warnings
warnings.simplefilter(action="ignore", category=FutureWarning)
connection = sqlite3.connect("stocks.sqlite", check_same_thread=False)
repo = SQLrepo(connection=connection)
st.set_page_config(page_title="Stocks App",
page_icon=":moneybag:")
st.markdown(f"<h2 style='text-align: center; '>Stock Returns Prediction ML App</h2>",
unsafe_allow_html=True)
st.markdown(f"<h4 style='text-align: center; '>Daily Updating Our Models and Data</h4>",
unsafe_allow_html=True)
ls_tick = {
"Apple": "AAPL",
"IBM": "IBM",
"Microsoft": "MSFT",
"Google": "GOOG",
"Tesla": "TSLA",
"Amazon": "AMZN",
"META": "META",
}
select_stock = st.selectbox("Stock Selection ", [x for x in ls_tick.keys()])
selection = select_stock
if selection == "none":
st.error("Please select a stock" , icon="🔥")
else:
st.markdown(
f"<h2 style='text-align: center; '>You selected {select_stock} stock</h2>", unsafe_allow_html=True)
col1, col2, col3 = st.columns(3)
with col2:
center_button = st.button('Go', use_container_width=True)
data_flag = False
if center_button:
# make animation
print(f"Button clicked {selection}")
with col2:
with st.spinner(''):
try:
data_prices = repo.read_table(table_name=selection)
st.success("Data loaded successfully", icon="⚡")
data_pred = repo.read_table(table_name=f"{selection}_pred")
data_flag = True
# show prices data on px graph
except Exception as e :
st.error("Please select a stock",icon="🔥")
data_flag = False
def trend(pred, date, pred_str):
"""
Custom function to show trend.
Args:
pred (float): Prediction value as a float.
date (str): String date.
pred_str (str): String prediction value.
"""
if pred >= 0.005:
return st.success(f'Prediction: {pred_str} ✅💯 Verified Up Trend on {date}')
elif pred >= 0:
return st.warning(f'Prediction: {pred_str}🟡 Unconfirmed Up Trend on {date}')
else:
return st.warning(f'Prediction: {pred_str}🔴 Down Trend on {date}')
if data_flag and center_button :
col1, col2, col3 = st.columns(3)
with col1:
fig = px.line(data_prices, x=data_prices.Date, y="Close", title="Close Price")
st.plotly_chart(fig)
col1, col2, col3 = st.columns(3)
with col2:
next_pred_int_1, next_pred_int_2 = float(data_pred['y_pred'].iat[-2] * 100),float(data_pred['y_pred'].iat[-1] * 100)
next_pred_str_1, next_pred_str_2= str(round(next_pred_int_1 , 5)) + "%",str(round(next_pred_int_2, 5)) + "%"
last_pred_date_1,last_pred_date_2 = str(data_pred['index'].iat[-2])[:10],str(data_pred['index'].iat[-1])[:10]
if data_flag and center_button :
st.markdown(f"<h4 style='text-align: center; '>Predictions For {select_stock} Stock〽️ </h4>",unsafe_allow_html=True)
trend(pred=next_pred_int_1,date=last_pred_date_1,pred_str=next_pred_str_1)
trend(pred=next_pred_int_2,date=last_pred_date_2,pred_str=next_pred_str_2)
# footer and Social Media Links
st.markdown(" ")
st.markdown(" ")
st.markdown(" ")
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st.markdown(" ")
st.markdown(f"<h5 style='text-align: center; '>Find me on <a href='https://www.linkedin.com/in/mohamedahmed878/'>LinkedIn</a></h5>",unsafe_allow_html=True)
st.markdown(f"<h6 style='text-align: center; '>📧 Mail me at: mohamed.a.abdelgani@gmail.com </h6>",unsafe_allow_html=True)
st.markdown(f"<h6 style='text-align: center; '>📞 Whatsapp me : +201098557840 </h6>",unsafe_allow_html=True)
st.markdown(" ")
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st.markdown(f"<h6 style='text-align: center; '>⚠️ This not a financial advice it's just a Scientific Computing using Machine Learning ⚠️</h6>",unsafe_allow_html=True)
st.markdown(f"<h6 style='text-align: center; '>⚠️ It did a good job in Back testing ⚠️</h6>",unsafe_allow_html=True)