Update app.py

app.py

@@ -1,23 +1,23 @@
 import gradio as gr
 import numpy as np
 
-# Generate data for 100 seconds with variability
-def generate_data(start_value, fluctuation, size):
+# 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=0.5, size=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=200, size=10)
+    time, oxygen_level = generate_data(start_value=97, fluctuation=5, noise_scale=0.5, size=100)
     return {"time": time, "oxygen_level": oxygen_level}
 
 def fetch_heart_rate():
-    time, heart_rate = generate_data(start_value=75, fluctuation=200, size=10)
+    time, heart_rate = generate_data(start_value=75, fluctuation=10, noise_scale=1.0, size=100)
     return {"time": time, "heart_rate": heart_rate}
 
 def fetch_sugar_level():
-    time, sugar_level = generate_data(start_value=90, fluctuation=205, size=10)
+    time, sugar_level = generate_data(start_value=90, fluctuation=15, noise_scale=1.5, size=100)
     return {"time": time, "sugar_level": sugar_level}
 
 # Create Gradio interfaces for each of the APIs