Update app.py

app.py

@@ -4,8 +4,7 @@ import cv2
 import numpy as np
 from collections import deque
 import time
-import plotly.graph_objects as go
-
+import matplotlib.pyplot as plt
 # Length of signal history to display (in samples)
 MAX_LEN = 500
 
@@ -106,20 +105,18 @@ def snap(frame, state):
         "name": "Green PPG",
     }
 
-# Plotly-style figure
-    plot_data = go.Figure(
-        data=[
-            go.Scatter(x=time_list, y=red_list, mode='lines', name='Red PPG'),
-            go.Scatter(x=time_list, y=green_list, mode='lines', name='Green PPG'),
-        ],
-        layout=go.Layout(
-            title='Red & Green PPG',
-            xaxis=dict(title='Time (s)'),
-            yaxis=dict(title='Intensity'),
-        )
-    )
-    return img, plot_data, state
-
+# Create matplotlib figure for plotting
+    fig, ax = plt.subplots(figsize=(8, 4))
+    ax.plot(time_list, red_list, label='Red PPG', color='red')
+    ax.plot(time_list, green_list, label='Green PPG', color='green')
+    ax.set_xlabel('Time (s)')
+    ax.set_ylabel('Intensity')
+    ax.set_title('Red & Green PPG')
+    ax.legend()
+    ax.grid(True)
+    plt.close(fig)
+    
+    return img, fig, state
 with gr.Blocks() as demo:
     # Stateful object to store signals across frames
     state = gr.State({"red": red_signal, "green": green_signal, "time": timestamps})