app.py

import streamlit as st
import os
import sys

# Add the 'utils' directory to sys.path so Python can find modules within it
sys.path.append(os.path.join(os.path.dirname(__file__), "utils"))

# Importing the necessary function from model_inference.py
from model_inference import generate_forex_signals
from config import RISK_LEVELS  # Assuming config.py is in the root directory

# Streamlit page configuration
st.set_page_config(page_title="AI Forex Bot", page_icon=":guardsman:", layout="wide")

# Title of the application
st.title("AI Forex Trading Bot")

# Description of how the bot works
st.markdown("""
    This AI-powered Forex Bot provides real-time trading signals using a combination of historical data, sentiment analysis, and macroeconomic factors.
    You can enter your trading capital and select a risk level to get personalized trading recommendations.
""")

# Sidebar for user inputs
st.sidebar.header("User Input")

# Get user trading capital (1 USD to 10,000 USD)
trading_capital = st.sidebar.number_input("Enter Trading Capital (USD)", min_value=1, max_value=10000, value=1000)

# Get user market risk level (Low, Medium, High)
market_risk = st.sidebar.selectbox("Select Market Risk Level", options=["Low", "Medium", "High"])

# Get user's preferred timezone (this can be used to adjust entry/exit time)
user_timezone = st.sidebar.text_input("Enter Your Timezone (e.g., UTC, EST, PST)", "UTC")

# Display the inputs
st.write(f"**Trading Capital**: ${trading_capital}")
st.write(f"**Market Risk Level**: {market_risk}")
st.write(f"**Timezone**: {user_timezone}")

# When user presses the "Get Trading Signals" button, run the model inference
if st.sidebar.button("Get Trading Signals"):
    # Call the function to generate forex signals from model_inference.py
    try:
        signals = generate_forex_signals(trading_capital, market_risk, user_timezone)
        
        # Display the results in the main area
        st.subheader("Recommended Forex Trade")
        st.write(f"**Currency Pair**: {signals['currency_pair']}")
        st.write(f"**Entry Time**: {signals['entry_time']}")
        st.write(f"**Exit Time**: {signals['exit_time']}")
        st.write(f"**ROI**: {signals['roi']}%")
        st.write(f"**Signal Strength**: {signals['signal_strength']}")

    except Exception as e:
        st.error(f"Error: {str(e)}")