deploy #6

src/streamlit_app.py

@@ -182,8 +182,8 @@ with tab1:
                     st.metric("RSI14", f"{latest_data['RSI14']:.2f}")
                 
                 
-                model = pickle.load(open('models/logistic_regression_model.pkl', 'rb'))
-                scaler = pickle.load(open('models/scaler.pkl', 'rb'))
+                model = pickle.load(open('src/models/logistic_regression_model.pkl', 'rb'))
+                scaler = pickle.load(open('src/models/scaler.pkl', 'rb'))
                     
                 # Create feature vector
                 feature_vector = latest_data[FEATURES].values.reshape(1, -1)