trying alternative

app.py

@@ -1,201 +1,233 @@
-import numpy as np
-import time
-import cv2
-import streamlit as st
-from pygame import mixer
-
-def state_machine(sumation, sound):
-    # Check if blue color object present in the ROI
-    yes = (sumation) > A1_thickness[0]*A1_thickness[1]*0.8
-
-    # If present play the respective instrument.
-    if yes and sound == 1:
-        xylo_A1.play()
-    elif yes and sound == 2:
-        xylo_A2.play()
-    elif yes and sound == 3:  # New condition for A4 drum
-        xylo_A3.play()
-    elif yes and sound == 4:
-        xylo_A4.play()
-    elif yes and sound == 5:
-        xylo_A5.play()
-    elif yes and sound == 6:
-        xylo_A6.play()
-    elif yes and sound == 7:
-        xylo_A7.play()
-
-def ROI_analysis(frame, sound):
-    # converting the image into HSV
-    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
-    # generating mask for
-    mask = cv2.inRange(hsv, blueLower, blueUpper)
-
-    # Calculating the number of white pixels depicting the blue color pixels in the ROI
-    sumation = np.sum(mask)
-
-    # Function that decides to play the instrument or not.
-    state_machine(sumation, sound)
-
-    return mask
-
-Verbose = False
-
-mixer.init()
-xylo_A1 = mixer.Sound('A1new.mp3')
-xylo_A2 = mixer.Sound('A2new.mp3')
-xylo_A3 = mixer.Sound('A3new.mp3')
-xylo_A4 = mixer.Sound('A4new.mp3')
-xylo_A5 = mixer.Sound('A5.wav')
-xylo_A6 = mixer.Sound('A6.wav')
-xylo_A7 = mixer.Sound('A7.wav')
-
-blueLower = (80, 150, 10)
-blueUpper = (120, 255, 255)
-
-camera = cv2.VideoCapture(0)
-ret, frame = camera.read()
-H, W = frame.shape[:2]
-
-A1 = cv2.resize(cv2.imread('A1.png'), (300, 150), interpolation=cv2.INTER_CUBIC)
-A2 = cv2.resize(cv2.imread('A2.png'), (300, 150), interpolation=cv2.INTER_CUBIC)
-A3 = cv2.resize(cv2.imread('A3.png'), (300, 150), interpolation=cv2.INTER_CUBIC)
-A4 = cv2.resize(cv2.imread('A4.png'), (300, 150), interpolation=cv2.INTER_CUBIC)
-A5 = cv2.resize(cv2.imread('A5.png'), (300, 150), interpolation=cv2.INTER_CUBIC)
-A6 = cv2.resize(cv2.imread('A6.png'), (300, 150), interpolation=cv2.INTER_CUBIC)
-A7 = cv2.resize(cv2.imread('A7.png'), (300, 150), interpolation=cv2.INTER_CUBIC)
-
-A1_center = [np.shape(frame)[1]*1//8, np.shape(frame)[0]*6//8]
-A2_center = [np.shape(frame)[1]*2//8, np.shape(frame)[0]*6//8]
-A3_center = [np.shape(frame)[1]*3//8, np.shape(frame)[0]*6//8]
-A4_center = [np.shape(frame)[1]*4//8, np.shape(frame)[0]*6//8]
-A5_center = [np.shape(frame)[1]*5//8, np.shape(frame)[0]*6//8]
-A6_center = [np.shape(frame)[1]*6//8, np.shape(frame)[0]*6//8]
-A7_center = [np.shape(frame)[1]*7//8, np.shape(frame)[0]*6//8]
-
-A1_thickness = [300, 150]
-A1_top = [A1_center[0]-A1_thickness[0]//2, A1_center[1]-A1_thickness[1]//2]
-A1_btm = [A1_center[0]+A1_thickness[0]//2, A1_center[1]+A1_thickness[1]//2]
-
-A2_thickness = [300, 150]
-A2_top = [A2_center[0]-A2_thickness[0]//2, A2_center[1]-A2_thickness[1]//2]
-A2_btm = [A2_center[0]+A2_thickness[0]//2, A2_center[1]+A2_thickness[1]//2]
-
-A3_thickness = [300, 150]
-A3_top = [A3_center[0]-A3_thickness[0]//2, A3_center[1]-A3_thickness[1]//2]
-A3_btm = [A3_center[0]+A3_thickness[0]//2, A3_center[1]+A3_thickness[1]//2]
-
-A4_thickness = [300, 150]
-A4_top = [A4_center[0]-A4_thickness[0]//2, A4_center[1]-A4_thickness[1]//2]
-A4_btm = [A4_center[0]+A4_thickness[0]//2, A4_center[1]+A4_thickness[1]//2]
-
-A5_thickness = [300, 150]
-A5_top = [A5_center[0]-A5_thickness[0]//2, A5_center[1]-A5_thickness[1]//2]
-A5_btm = [A5_center[0]+A5_thickness[0]//2, A5_center[1]+A5_thickness[1]//2]
-
-A6_thickness = [300, 150]
-A6_top = [A6_center[0]-A6_thickness[0]//2, A6_center[1]-A6_thickness[1]//2]
-A6_btm = [A6_center[0]+A6_thickness[0]//2, A6_center[1]+A6_thickness[1]//2]
-
-A7_thickness = [300, 150]
-A7_top = [A7_center[0]-A7_thickness[0]//2, A7_center[1]-A7_thickness[1]//2]
-A7_btm = [A7_center[0]+A7_thickness[0]//2, A7_center[1]+A7_thickness[1]//2]
-
-st.title('Airial Xylophone')
-
-Verbose = st.checkbox('Display ROI')
-
-stframe = st.image([])
-
-time.sleep(1)
-
-while True:
-    # Grab the current frame
-    ret, frame = camera.read()
-    frame = cv2.flip(frame, 1)
-
-    if not ret:
-        break
-
-    # Selecting ROI corresponding to A1
-    A1_ROI = np.copy(frame[A1_top[1]:A1_btm[1], A1_top[0]:A1_btm[0]])
-    mask = ROI_analysis(A1_ROI, 1)
-
-    # Selecting ROI corresponding to A2
-    A2_ROI = np.copy(frame[A2_top[1]:A2_btm[1], A2_top[0]:A2_btm[0]])
-    mask = ROI_analysis(A2_ROI, 2)
-
-    # Selecting ROI corresponding to A3
-    A3_ROI = np.copy(frame[A3_top[1]:A3_btm[1], A3_top[0]:A3_btm[0]])
-    mask = ROI_analysis(A3_ROI, 3)  # Play A3 audio
-
-    # Selecting ROI corresponding to A4
-    A4_ROI = np.copy(frame[A4_top[1]:A4_btm[1], A4_top[0]:A4_btm[0]])
-    mask = ROI_analysis(A4_ROI, 4)  # Play A4 audio
-
-    # Selecting ROI corresponding to A5
-    A5_ROI = np.copy(frame[A5_top[1]:A5_btm[1], A5_top[0]:A5_btm[0]])
-    mask = ROI_analysis(A5_ROI, 5)  # Play A5 audio
-
-    # Selecting ROI corresponding to A6
-    A6_ROI = np.copy(frame[A6_top[1]:A6_btm[1], A6_top[0]:A6_btm[0]])
-    mask = ROI_analysis(A6_ROI, 6)  # Play A6 audio
-
-    # Selecting ROI corresponding to A7
-    A7_ROI = np.copy(frame[A7_top[1]:A7_btm[1], A7_top[0]:A7_btm[0]])
-    mask = ROI_analysis(A7_ROI, 7)  # Play A7 audio
-
-    # Writing text on the image
-    cv2.putText(frame, 'Project : Airial Xylophone', (10, 30), 2, 1, (20, 20, 20), 2)
-
-    # Display the ROI to view the blue colour being detected
-    if Verbose:
-        # Displaying the ROI in the Image
-        frame[A1_top[1]:A1_btm[1], A1_top[0]:A1_btm[0]] = cv2.bitwise_and(
-            frame[A1_top[1]:A1_btm[1], A1_top[0]:A1_btm[0]],
-            frame[A1_top[1]:A1_btm[1], A1_top[0]:A1_btm[0]], mask=mask[A1_top[1]:A1_btm[1], A1_top[0]:A1_btm[0]])
-        frame[A2_top[1]:A2_btm[1], A2_top[0]:A2_btm[0]] = cv2.bitwise_and(
-            frame[A2_top[1]:A2_btm[1], A2_top[0]:A2_btm[0]],
-            frame[A2_top[1]:A2_btm[1], A2_top[0]:A2_btm[0]], mask=mask[A2_top[1]:A2_btm[1], A2_top[0]:A2_btm[0]])
-        frame[A3_top[1]:A3_btm[1], A3_top[0]:A3_btm[0]] = cv2.bitwise_and(
-            frame[A3_top[1]:A3_btm[1], A3_top[0]:A3_btm[0]],
-            frame[A3_top[1]:A3_btm[1], A3_top[0]:A3_btm[0]], mask=mask[A3_top[1]:A3_btm[1], A3_top[0]:A3_btm[0]])
-        frame[A4_top[1]:A4_btm[1], A4_top[0]:A4_btm[0]] = cv2.bitwise_and(
-            frame[A4_top[1]:A4_btm[1], A4_top[0]:A4_btm[0]],
-            frame[A4_top[1]:A4_btm[1], A4_top[0]:A4_btm[0]], mask=mask[A4_top[1]:A4_btm[1], A4_top[0]:A4_btm[0]])
-        frame[A5_top[1]:A5_btm[1], A5_top[0]:A5_btm[0]] = cv2.bitwise_and(
-            frame[A5_top[1]:A5_btm[1], A5_top[0]:A5_btm[0]],
-            frame[A5_top[1]:A5_btm[1], A5_top[0]:A5_btm[0]], mask=mask[A5_top[1]:A5_btm[1], A5_top[0]:A5_btm[0]])
-        frame[A6_top[1]:A6_btm[1], A6_top[0]:A6_btm[0]] = cv2.bitwise_and(
-            frame[A6_top[1]:A6_btm[1], A6_top[0]:A6_btm[0]],
-            frame[A6_top[1]:A6_btm[1], A6_top[0]:A6_btm[0]], mask=mask[A6_top[1]:A6_btm[1], A6_top[0]:A6_btm[0]])
-        frame[A7_top[1]:A7_btm[1], A7_top[0]:A7_btm[0]] = cv2.bitwise_and(
-            frame[A7_top[1]:A7_btm[1], A7_top[0]:A7_btm[0]],
-            frame[A7_top[1]:A7_btm[1], A7_top[0]:A7_btm[0]], mask=mask[A7_top[1]:A7_btm[1], A7_top[0]:A7_btm[0]])
+# import numpy as np
+# import time
+# import cv2
+# import streamlit as st
+# from pygame import mixer
+
+# def state_machine(sumation, sound):
+#     # Check if blue color object present in the ROI
+#     yes = (sumation) > A1_thickness[0]*A1_thickness[1]*0.8
+
+#     # If present play the respective instrument.
+#     if yes and sound == 1:
+#         xylo_A1.play()
+#     elif yes and sound == 2:
+#         xylo_A2.play()
+#     elif yes and sound == 3:  # New condition for A4 drum
+#         xylo_A3.play()
+#     elif yes and sound == 4:
+#         xylo_A4.play()
+#     elif yes and sound == 5:
+#         xylo_A5.play()
+#     elif yes and sound == 6:
+#         xylo_A6.play()
+#     elif yes and sound == 7:
+#         xylo_A7.play()
+
+# def ROI_analysis(frame, sound):
+#     # converting the image into HSV
+#     hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
+#     # generating mask for
+#     mask = cv2.inRange(hsv, blueLower, blueUpper)
+
+#     # Calculating the number of white pixels depicting the blue color pixels in the ROI
+#     sumation = np.sum(mask)
+
+#     # Function that decides to play the instrument or not.
+#     state_machine(sumation, sound)
+
+#     return mask
+
+# Verbose = False
+
+# mixer.init()
+# xylo_A1 = mixer.Sound('A1new.mp3')
+# xylo_A2 = mixer.Sound('A2new.mp3')
+# xylo_A3 = mixer.Sound('A3new.mp3')
+# xylo_A4 = mixer.Sound('A4new.mp3')
+# xylo_A5 = mixer.Sound('A5.wav')
+# xylo_A6 = mixer.Sound('A6.wav')
+# xylo_A7 = mixer.Sound('A7.wav')
+
+# blueLower = (80, 150, 10)
+# blueUpper = (120, 255, 255)
+
+# camera = cv2.VideoCapture(0)
+# ret, frame = camera.read()
+# H, W = frame.shape[:2]
+
+# A1 = cv2.resize(cv2.imread('A1.png'), (300, 150), interpolation=cv2.INTER_CUBIC)
+# A2 = cv2.resize(cv2.imread('A2.png'), (300, 150), interpolation=cv2.INTER_CUBIC)
+# A3 = cv2.resize(cv2.imread('A3.png'), (300, 150), interpolation=cv2.INTER_CUBIC)
+# A4 = cv2.resize(cv2.imread('A4.png'), (300, 150), interpolation=cv2.INTER_CUBIC)
+# A5 = cv2.resize(cv2.imread('A5.png'), (300, 150), interpolation=cv2.INTER_CUBIC)
+# A6 = cv2.resize(cv2.imread('A6.png'), (300, 150), interpolation=cv2.INTER_CUBIC)
+# A7 = cv2.resize(cv2.imread('A7.png'), (300, 150), interpolation=cv2.INTER_CUBIC)
+
+# A1_center = [np.shape(frame)[1]*1//8, np.shape(frame)[0]*6//8]
+# A2_center = [np.shape(frame)[1]*2//8, np.shape(frame)[0]*6//8]
+# A3_center = [np.shape(frame)[1]*3//8, np.shape(frame)[0]*6//8]
+# A4_center = [np.shape(frame)[1]*4//8, np.shape(frame)[0]*6//8]
+# A5_center = [np.shape(frame)[1]*5//8, np.shape(frame)[0]*6//8]
+# A6_center = [np.shape(frame)[1]*6//8, np.shape(frame)[0]*6//8]
+# A7_center = [np.shape(frame)[1]*7//8, np.shape(frame)[0]*6//8]
+
+# A1_thickness = [300, 150]
+# A1_top = [A1_center[0]-A1_thickness[0]//2, A1_center[1]-A1_thickness[1]//2]
+# A1_btm = [A1_center[0]+A1_thickness[0]//2, A1_center[1]+A1_thickness[1]//2]
+
+# A2_thickness = [300, 150]
+# A2_top = [A2_center[0]-A2_thickness[0]//2, A2_center[1]-A2_thickness[1]//2]
+# A2_btm = [A2_center[0]+A2_thickness[0]//2, A2_center[1]+A2_thickness[1]//2]
+
+# A3_thickness = [300, 150]
+# A3_top = [A3_center[0]-A3_thickness[0]//2, A3_center[1]-A3_thickness[1]//2]
+# A3_btm = [A3_center[0]+A3_thickness[0]//2, A3_center[1]+A3_thickness[1]//2]
+
+# A4_thickness = [300, 150]
+# A4_top = [A4_center[0]-A4_thickness[0]//2, A4_center[1]-A4_thickness[1]//2]
+# A4_btm = [A4_center[0]+A4_thickness[0]//2, A4_center[1]+A4_thickness[1]//2]
+
+# A5_thickness = [300, 150]
+# A5_top = [A5_center[0]-A5_thickness[0]//2, A5_center[1]-A5_thickness[1]//2]
+# A5_btm = [A5_center[0]+A5_thickness[0]//2, A5_center[1]+A5_thickness[1]//2]
+
+# A6_thickness = [300, 150]
+# A6_top = [A6_center[0]-A6_thickness[0]//2, A6_center[1]-A6_thickness[1]//2]
+# A6_btm = [A6_center[0]+A6_thickness[0]//2, A6_center[1]+A6_thickness[1]//2]
+
+# A7_thickness = [300, 150]
+# A7_top = [A7_center[0]-A7_thickness[0]//2, A7_center[1]-A7_thickness[1]//2]
+# A7_btm = [A7_center[0]+A7_thickness[0]//2, A7_center[1]+A7_thickness[1]//2]
+
+# st.title('Airial Xylophone')
+
+# Verbose = st.checkbox('Display ROI')
+
+# stframe = st.image([])
+
+# time.sleep(1)
+
+# while True:
+#     # Grab the current frame
+#     ret, frame = camera.read()
+#     frame = cv2.flip(frame, 1)
+
+#     if not ret:
+#         break
+
+#     # Selecting ROI corresponding to A1
+#     A1_ROI = np.copy(frame[A1_top[1]:A1_btm[1], A1_top[0]:A1_btm[0]])
+#     mask = ROI_analysis(A1_ROI, 1)
+
+#     # Selecting ROI corresponding to A2
+#     A2_ROI = np.copy(frame[A2_top[1]:A2_btm[1], A2_top[0]:A2_btm[0]])
+#     mask = ROI_analysis(A2_ROI, 2)
+
+#     # Selecting ROI corresponding to A3
+#     A3_ROI = np.copy(frame[A3_top[1]:A3_btm[1], A3_top[0]:A3_btm[0]])
+#     mask = ROI_analysis(A3_ROI, 3)  # Play A3 audio
+
+#     # Selecting ROI corresponding to A4
+#     A4_ROI = np.copy(frame[A4_top[1]:A4_btm[1], A4_top[0]:A4_btm[0]])
+#     mask = ROI_analysis(A4_ROI, 4)  # Play A4 audio
+
+#     # Selecting ROI corresponding to A5
+#     A5_ROI = np.copy(frame[A5_top[1]:A5_btm[1], A5_top[0]:A5_btm[0]])
+#     mask = ROI_analysis(A5_ROI, 5)  # Play A5 audio
+
+#     # Selecting ROI corresponding to A6
+#     A6_ROI = np.copy(frame[A6_top[1]:A6_btm[1], A6_top[0]:A6_btm[0]])
+#     mask = ROI_analysis(A6_ROI, 6)  # Play A6 audio
+
+#     # Selecting ROI corresponding to A7
+#     A7_ROI = np.copy(frame[A7_top[1]:A7_btm[1], A7_top[0]:A7_btm[0]])
+#     mask = ROI_analysis(A7_ROI, 7)  # Play A7 audio
+
+#     # Writing text on the image
+#     cv2.putText(frame, 'Project : Airial Xylophone', (10, 30), 2, 1, (20, 20, 20), 2)
+
+#     # Display the ROI to view the blue colour being detected
+#     if Verbose:
+#         # Displaying the ROI in the Image
+#         frame[A1_top[1]:A1_btm[1], A1_top[0]:A1_btm[0]] = cv2.bitwise_and(
+#             frame[A1_top[1]:A1_btm[1], A1_top[0]:A1_btm[0]],
+#             frame[A1_top[1]:A1_btm[1], A1_top[0]:A1_btm[0]], mask=mask[A1_top[1]:A1_btm[1], A1_top[0]:A1_btm[0]])
+#         frame[A2_top[1]:A2_btm[1], A2_top[0]:A2_btm[0]] = cv2.bitwise_and(
+#             frame[A2_top[1]:A2_btm[1], A2_top[0]:A2_btm[0]],
+#             frame[A2_top[1]:A2_btm[1], A2_top[0]:A2_btm[0]], mask=mask[A2_top[1]:A2_btm[1], A2_top[0]:A2_btm[0]])
+#         frame[A3_top[1]:A3_btm[1], A3_top[0]:A3_btm[0]] = cv2.bitwise_and(
+#             frame[A3_top[1]:A3_btm[1], A3_top[0]:A3_btm[0]],
+#             frame[A3_top[1]:A3_btm[1], A3_top[0]:A3_btm[0]], mask=mask[A3_top[1]:A3_btm[1], A3_top[0]:A3_btm[0]])
+#         frame[A4_top[1]:A4_btm[1], A4_top[0]:A4_btm[0]] = cv2.bitwise_and(
+#             frame[A4_top[1]:A4_btm[1], A4_top[0]:A4_btm[0]],
+#             frame[A4_top[1]:A4_btm[1], A4_top[0]:A4_btm[0]], mask=mask[A4_top[1]:A4_btm[1], A4_top[0]:A4_btm[0]])
+#         frame[A5_top[1]:A5_btm[1], A5_top[0]:A5_btm[0]] = cv2.bitwise_and(
+#             frame[A5_top[1]:A5_btm[1], A5_top[0]:A5_btm[0]],
+#             frame[A5_top[1]:A5_btm[1], A5_top[0]:A5_btm[0]], mask=mask[A5_top[1]:A5_btm[1], A5_top[0]:A5_btm[0]])
+#         frame[A6_top[1]:A6_btm[1], A6_top[0]:A6_btm[0]] = cv2.bitwise_and(
+#             frame[A6_top[1]:A6_btm[1], A6_top[0]:A6_btm[0]],
+#             frame[A6_top[1]:A6_btm[1], A6_top[0]:A6_btm[0]], mask=mask[A6_top[1]:A6_btm[1], A6_top[0]:A6_btm[0]])
+#         frame[A7_top[1]:A7_btm[1], A7_top[0]:A7_btm[0]] = cv2.bitwise_and(
+#             frame[A7_top[1]:A7_btm[1], A7_top[0]:A7_btm[0]],
+#             frame[A7_top[1]:A7_btm[1], A7_top[0]:A7_btm[0]], mask=mask[A7_top[1]:A7_btm[1], A7_top[0]:A7_btm[0]])
+
+#     else:
+#         # Augmenting the image of the instruments on the frame
+#         frame[A1_top[1]:A1_btm[1], A1_top[0]:A1_btm[0]] = cv2.addWeighted(A1, 1,
+#                                                                          frame[A1_top[1]:A1_btm[1], A1_top[0]:A1_btm[0]], 1, 0)
+#         frame[A2_top[1]:A2_btm[1], A2_top[0]:A2_btm[0]] = cv2.addWeighted(A2, 1,
+#                                                                          frame[A2_top[1]:A2_btm[1], A2_top[0]:A2_btm[0]], 1, 0)
+#         frame[A3_top[1]:A3_btm[1], A3_top[0]:A3_btm[0]] = cv2.addWeighted(A3, 1,
+#                                                                          frame[A3_top[1]:A3_btm[1], A3_top[0]:A3_btm[0]], 1, 0)
+#         frame[A4_top[1]:A4_btm[1], A4_top[0]:A4_btm[0]] = cv2.addWeighted(A4, 1,
+#                                                                          frame[A4_top[1]:A4_btm[1], A4_top[0]:A4_btm[0]], 1, 0)
+#         frame[A5_top[1]:A5_btm[1], A5_top[0]:A5_btm[0]] = cv2.addWeighted(A5, 1,
+#                                                                          frame[A5_top[1]:A5_btm[1], A5_top[0]:A5_btm[0]], 1, 0)
+#         frame[A6_top[1]:A6_btm[1], A6_top[0]:A6_btm[0]] = cv2.addWeighted(A6, 1,
+#                                                                          frame[A6_top[1]:A6_btm[1], A6_top[0]:A6_btm[0]], 1, 0)
+#         frame[A7_top[1]:A7_btm[1], A7_top[0]:A7_btm[0]] = cv2.addWeighted(A7, 1,
+#                                                                          frame[A7_top[1]:A7_btm[1], A7_top[0]:A7_btm[0]], 1, 0)
+
+#     stframe.image(frame, channels="BGR")
+
+#     key = cv2.waitKey(1) & 0xFF
+#     # if the 'q' key is pressed, stop the loop
+#     if key == ord("q"):
+#         break
+
+# # Cleanup the camera and close any open windows
+# camera.release()
+# cv2.destroyAllWindows()
+
+
 
+import streamlit as st
+import soundfile as sf
+import sounddevice as sd
+
+
+st.title("Audio Player")
+
+# Input audio file path
+audio_file_path = "A6.wav"
+
+# Play button
+if st.button("Play"):
+    if audio_file_path:
+        try:
+            with st.spinner("Loading audio..."):
+                # Read audio file
+                data, samplerate = sf.read(audio_file_path)
+                
+                # Play audio
+                sd.play(data, samplerate)
+                sd.wait()  # Wait until playback is finished
+
+                st.success("Playback finished!")
+        except Exception as e:
+            st.error(f"Error: {e}")
     else:
-        # Augmenting the image of the instruments on the frame
-        frame[A1_top[1]:A1_btm[1], A1_top[0]:A1_btm[0]] = cv2.addWeighted(A1, 1,
-                                                                         frame[A1_top[1]:A1_btm[1], A1_top[0]:A1_btm[0]], 1, 0)
-        frame[A2_top[1]:A2_btm[1], A2_top[0]:A2_btm[0]] = cv2.addWeighted(A2, 1,
-                                                                         frame[A2_top[1]:A2_btm[1], A2_top[0]:A2_btm[0]], 1, 0)
-        frame[A3_top[1]:A3_btm[1], A3_top[0]:A3_btm[0]] = cv2.addWeighted(A3, 1,
-                                                                         frame[A3_top[1]:A3_btm[1], A3_top[0]:A3_btm[0]], 1, 0)
-        frame[A4_top[1]:A4_btm[1], A4_top[0]:A4_btm[0]] = cv2.addWeighted(A4, 1,
-                                                                         frame[A4_top[1]:A4_btm[1], A4_top[0]:A4_btm[0]], 1, 0)
-        frame[A5_top[1]:A5_btm[1], A5_top[0]:A5_btm[0]] = cv2.addWeighted(A5, 1,
-                                                                         frame[A5_top[1]:A5_btm[1], A5_top[0]:A5_btm[0]], 1, 0)
-        frame[A6_top[1]:A6_btm[1], A6_top[0]:A6_btm[0]] = cv2.addWeighted(A6, 1,
-                                                                         frame[A6_top[1]:A6_btm[1], A6_top[0]:A6_btm[0]], 1, 0)
-        frame[A7_top[1]:A7_btm[1], A7_top[0]:A7_btm[0]] = cv2.addWeighted(A7, 1,
-                                                                         frame[A7_top[1]:A7_btm[1], A7_top[0]:A7_btm[0]], 1, 0)
-
-    stframe.image(frame, channels="BGR")
-
-    key = cv2.waitKey(1) & 0xFF
-    # if the 'q' key is pressed, stop the loop
-    if key == ord("q"):
-        break
-
-# Cleanup the camera and close any open windows
-camera.release()
-cv2.destroyAllWindows()
+        st.warning("Please enter the path of a WAV audio file.")
+
+

requirements.txt

@@ -1,3 +1,5 @@
 opencv-python
 pygame
-streamlit
+streamlit
+soundfile
+sounddevice