remove audio generation

core.py

@@ -69,18 +69,6 @@ def extract_profile(img: np.ndarray, context={}) -> Curve:
     )
 
 
-def create_audio(img, context={}):
-    audio_length_seconds = 0.5
-    time_axis = np.linspace(0, audio_length_seconds,
-                            int(audio_length_seconds*44100))
-    modulation = np.interp(time_axis, np.linspace(
-        0., 1., img.shape[0]), img[:, 0, 0])
-    frequency = 440 * (1 + context.get('freq', 0)/100.)
-    audio_1 = (np.sin(2 * np.pi * frequency * time_axis))
-    audio_2 = (modulation*np.sin(2 * np.pi * 300 * time_axis))
-    return audio_1, audio_2
-
-
 # -------------------
 # Pipeline definition
 # -------------------
@@ -92,8 +80,7 @@ def tutorial_pipeline():
     out_bnw = change_color(inp)
     out_image = compare_by_splitting(out_geometry, out_bnw)
     out_profile = extract_profile(out_image)
-    audio_1, audio_2 = create_audio(out_image)
-    return [[inp, out_geometry], [out_profile, out_image], [audio_1, audio_2]]
+    return [[inp, out_geometry], [out_profile, out_image]]
 
 # -----------------------------------------------------------------------------------------
 # Other layout you can try! None will create an empty space.

core_audio.py

@@ -0,0 +1,13 @@
+import numpy as np
+
+
+def create_audio(img, context={}):
+    audio_length_seconds = 0.5
+    time_axis = np.linspace(0, audio_length_seconds,
+                            int(audio_length_seconds*44100))
+    modulation = np.interp(time_axis, np.linspace(
+        0., 1., img.shape[0]), img[:, 0, 0])
+    frequency = 440 * (1 + context.get('freq', 0)/100.)
+    audio_1 = (np.sin(2 * np.pi * frequency * time_axis))
+    audio_2 = (modulation*np.sin(2 * np.pi * 300 * time_axis))
+    return audio_1, audio_2