# Importing Streamlit for building the web-based interactive application framework
import streamlit as st
# Function to display the Flask App section
def display_project_flask_app():
st.markdown(
"""
Flask App Overview
Our Flask app is designed with a pastel lavender pink theme for a visually soothing user interface.
Flask App Functionality
The Flask application loads pre-trained models for each company, with separate models created to forecast stock prices.
Users can select a company from a dropdown menu, and the app fetches the appropriate model for predictions. The app
takes input data for open, high, low, and volume prices and displays the predicted close value.
Below is a visual representation of the Flask app's architecture.
Snapshots from the Flask App
""",
unsafe_allow_html=True,
)