Undo smaller

dancer/libfun.py

@@ -5,13 +5,16 @@
 import matplotlib as mpl
 from matplotlib.colors import LinearSegmentedColormap
 from matplotlib.figure import Figure
+from audioread import audio_open
 
 VERSION="?"
 HEATMAP = LinearSegmentedColormap.from_list("intensity",["w", "g", "orange", "r"], N=256)
 
 #TODO: Fix action lag that happens sometimes, maybe change hop?
 def load_audio_data(audio_file, hop_length=1024, frame_length=1024, plp=True):
-	y, sr = librosa.load(audio_file, sr=None, mono=True)
+	y, sr=None,None
+	with audio_open(audio_file) as f:
+		y, sr = librosa.load(f, sr=None, mono=True)
 
 	# Compute beats
 	onset = None

dancer/ui.py

@@ -102,22 +102,9 @@ def run(self):
 		self.pre()
 
 		if (isinstance(self.fileName, Path)):
-			audioFile = Path(cfg.get("temporary_folder", "tmp"), self.fileName.with_suffix(".wav").name)
-			audioFile.parent.mkdir(parents=True, exist_ok=True)
-
-			if (len(self.data) <= 0):
-				try:
-					ffmpeg_conv(self.fileName, audioFile)
-				except:
-					self.progressed(-1, "Failed to convert to wav!")
-					self.finished()
-					return
-
-				self.progressed(20, "Transforming audio data...")
-
 			try:
-				self.data = load_audio_data(audioFile, plp=self.plp)
-			except:
+				self.data = load_audio_data(self.fileName, plp=self.plp)
+			except Exception as e:
 				self.progressed(-1, "Failed to transform audio data!")
 				self.finished()
 				return

requirements.txt

@@ -1,5 +1,5 @@
 numpy<1.24
-librosa @ git+https://github.com/audioseek/librosa@main
+librosa==0.10.0.post2
 matplotlib<3.8
 scipy==1.9.3
 pyinstaller