app.py

import gradio as gr
import numpy as np

# Generate data for 100 seconds with unique variability
def generate_data(start_value, fluctuation, noise_scale, size):
    time = np.arange(size)
    data = start_value + fluctuation * np.sin(time / 10) + np.random.normal(scale=noise_scale, size=size)
    data = np.clip(data, 0, None)  # Ensure no negative values
    return time.tolist(), data.tolist()

def fetch_blood_oxygen():
    time, oxygen_level = generate_data(start_value=97, fluctuation=5, noise_scale=5, size=10)
    return {"time": time, "oxygen_level": oxygen_level}

def fetch_heart_rate():
    time, heart_rate = generate_data(start_value=75, fluctuation=10, noise_scale=10, size=10)
    return {"time": time, "heart_rate": heart_rate}

def fetch_sugar_level():
    time, sugar_level = generate_data(start_value=90, fluctuation=15, noise_scale=20, size=10)
    return {"time": time, "sugar_level": sugar_level}

# Create Gradio interfaces for each of the APIs
blood_oxygen_interface = gr.Interface(
    fn=fetch_blood_oxygen, 
    inputs=None, 
    outputs="json", 
    title="Blood Oxygen API", 
    description="Returns blood oxygen data over 100 seconds."
)

heart_rate_interface = gr.Interface(
    fn=fetch_heart_rate, 
    inputs=None, 
    outputs="json", 
    title="Heart Rate API", 
    description="Returns heart rate data over 100 seconds."
)

sugar_level_interface = gr.Interface(
    fn=fetch_sugar_level, 
    inputs=None, 
    outputs="json", 
    title="Sugar Level API", 
    description="Returns sugar level data over 100 seconds."
)

# Use Gradio Blocks to run all three interfaces
with gr.Blocks() as demo:
    gr.Markdown("# Real-Time Health Monitoring API")
    
    # Add the three interfaces
    blood_oxygen_interface.render()
    heart_rate_interface.render()
    sugar_level_interface.render()

# Launch the app
demo.launch()