Update app.py

app.py

@@ -1,6 +1,7 @@
 import streamlit as st
 import os
 import sys
+import requests
 
 # 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"))
@@ -30,8 +31,22 @@ trading_capital = st.sidebar.number_input("Enter Trading Capital (USD)", min_val
 # 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")
+# Function to get user's timezone based on their IP address
+def get_user_timezone():
+    try:
+        # Get the public IP address of the user
+        response = requests.get(f'https://ipinfo.io?token=37b621e95809fa')
+        data = response.json()
+        
+        # Extract the timezone information from the response
+        user_timezone = data['timezone']
+        return user_timezone
+    except Exception as e:
+        print(f"Error fetching timezone: {e}")
+        return 'UTC'  # Fallback to UTC if there's an error
+
+# Get user's timezone automatically using IP address
+user_timezone = get_user_timezone()
 
 # Display the inputs
 st.write(f"**Trading Capital**: ${trading_capital}")
@@ -42,7 +57,7 @@ st.write(f"**Timezone**: {user_timezone}")
 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)
+        signals = generate_forex_signals(trading_capital, market_risk)
         
         # Display the results in the main area
         st.subheader("Recommended Forex Trade")
@@ -54,3 +69,4 @@ if st.sidebar.button("Get Trading Signals"):
 
     except Exception as e:
         st.error(f"Error: {str(e)}")
+