Create app.py

app.py

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+import streamlit as st
+from utils.data_preprocessing import preprocess_data
+from utils.model_inference import generate_forex_signals
+from utils.sentiment_analysis import fetch_sentiment
+
+# Load models and data
+import os
+from dotenv import load_dotenv
+load_dotenv()
+
+# APIs from .env
+NEWS_API_KEY = os.getenv("NEWS_API_KEY")
+FMP_API_KEY = os.getenv("FMP_API_KEY")
+
+# Streamlit UI
+st.title("AI Forex Bot")
+st.sidebar.header("User Input")
+
+# User inputs
+trading_capital = st.sidebar.number_input("Trading Capital (USD)", min_value=100.0, step=10.0)
+risk_level = st.sidebar.selectbox("Market Risk Level", ["Low", "Medium", "High"])
+
+if st.sidebar.button("Generate Signals"):
+    # Backend logic
+    forex_signals = generate_forex_signals(trading_capital, risk_level)
+    sentiment = fetch_sentiment(forex_signals['currency_pair'], NEWS_API_KEY)
+    st.write("### Results")
+    st.write(f"Profitable Currency Pair: {forex_signals['currency_pair']}")
+    st.write(f"Entry Time: {forex_signals['entry_time']}")
+    st.write(f"Exit Time: {forex_signals['exit_time']}")
+    st.write(f"ROI: {forex_signals['roi']}%")
+    st.write(f"Signal Strength: {forex_signals['signal_strength']}")
+    st.write(f"Market Sentiment: {sentiment}")