diff --git a/app.py b/app.py index 3a7106a..9157099 100644 --- a/app.py +++ b/app.py @@ -64,6 +64,64 @@ def global_error_handler(exc_type, exc_value, exc_traceback): """ +import streamlit as st +import random +import time +# Adding tabs for different sections of the app +tabs = st.tabs(["Home", "Guided Meditation", "Breathing Exercises", "Monitoring (Beta)"]) +# Code for the Monitoring (Beta) tab +import streamlit as st +import random +import time + +# Add navigation options in sidebar +selected_tab = st.sidebar.selectbox("Choose a tab", ["Home", "Monitoring (Beta)", "Other Tabs"]) + +if selected_tab == "Monitoring (Beta)": + st.title("Monitoring (Beta)") + st.subheader("Connect Your Heart Rate and Stress Monitoring Device") + + # Connection instructions + st.markdown(""" + To connect your device, please follow these steps: + + 1. **Enable Bluetooth** on your heart rate monitoring device and the device running this app. + 2. **Select Your Device** from the dropdown below and click **Connect**. + 3. Once connected, your heart rate and stress levels will appear in real-time. + """) + + # Simulated dropdown to select a device (for demonstration purposes) + device_name = st.selectbox("Select Monitoring Device", ["Device 1", "Device 2", "Device 3"]) + + # Simulate a connect button + if st.button("Connect"): + st.success(f"Connected to {device_name}!") + + # Display placeholders for real-time data + heart_rate_display = st.empty() + stress_level_display = st.empty() + status_display = st.empty() + + def simulate_data(): + """Simulate heart rate and stress level data""" + heart_rate = random.randint(60, 100) + stress_level = random.randint(1, 10) + return heart_rate, stress_level + + # Real-time update loop + status_display.write("Monitoring real-time data...") + + for _ in range(100): # Use a finite range instead of while True for demonstration + # Simulate or fetch data + heart_rate, stress_level = simulate_data() + + # Display the data in real-time + heart_rate_display.metric("Heart Rate", f"{heart_rate} BPM") + stress_level_display.metric("Stress Level", f"{stress_level}/10") + + # Refresh data every second + time.sleep(1) +#Changes made by --Charvi Arora #Added security # Load environment variables from .env file load_dotenv() diff --git a/streamlit_app.py b/streamlit_app.py new file mode 100644 index 0000000..5244786 --- /dev/null +++ b/streamlit_app.py @@ -0,0 +1,57 @@ +import streamlit as st + +# Main App Title +st.title("SereniFi Guide") + +# Tabs for Navigation +tab1, tab2, tab3 = st.tabs(["Calm Space", "Monitoring (Beta)", "About and Feedback"]) + +# Calm Space Tab Content +with tab1: + st.header("Calm Space") + # Existing content for Calm Space + st.write("Welcome to your Calm Space.") + +# Monitoring (Beta) Tab Content +with tab2: + st.header("Monitoring (Beta)") + st.write("Connect your heart rate and stress monitoring device below.") + + # Instructions for connecting a monitoring device + st.markdown(""" + **Steps to Connect:** + 1. Enable Bluetooth on your device. + 2. Select your wearable device from the available options below. + - Example Device 1 + - Example Device 2 + 3. Once connected, real-time monitoring data will display here. + """) + + # Example placeholders for real-time data + st.metric(label="Heart Rate", value="72 bpm") + st.metric(label="Stress Level", value="Low") + +# About and Feedback Tab Content +with tab3: + st.header("About and Feedback") + # Content for About and Feedback + st.write("This section provides information and allows feedback.") + +# Display placeholders for real-time data + heart_rate_display = st.empty() + stress_level_display = st.empty() + status_display = st.empty() + + def simulate_data(): + """Simulate heart rate and stress level data""" + heart_rate = random.randint(60, 100) + stress_level = random.randint(1, 10) + return heart_rate, stress_level + + # Real-time update loop + status_display.write("Monitoring real-time data...") + for _ in range(100): # Finite loop for demonstration + heart_rate, stress_level = simulate_data() + heart_rate_display.metric("Heart Rate", f"{heart_rate} BPM") + stress_level_display.metric("Stress Level", f"{stress_level}/10") + time.sleep(1) \ No newline at end of file