Merge pull request #2497 from avinashkranjan/deepsource-transform-19798a80

format code with autopep8

Author: avinashkranjan

AI Based Music Composer/music_composer.py

@@ -8,7 +8,8 @@
 
 # Initialize the Melody RNN model
 model_name = 'attention_rnn'
-melody_rnn = melody_rnn_sequence_generator.MelodyRnnSequenceGenerator(model_name=model_name)
+melody_rnn = melody_rnn_sequence_generator.MelodyRnnSequenceGenerator(
+    model_name=model_name)
 
 # Set the temperature for music generation (higher values lead to more randomness)
 temperature = 1.0
@@ -20,7 +21,8 @@
 steps_per_music_piece = 128
 
 # User input for preferred genre and tempo
-preferred_genre = input("Enter your preferred genre (e.g., classical, jazz, rock): ")
+preferred_genre = input(
+    "Enter your preferred genre (e.g., classical, jazz, rock): ")
 preferred_tempo = int(input("Enter your preferred tempo (BPM): "))
 
 # Chord progression for the chosen genre (you can add more genres and progressions)
@@ -32,7 +34,8 @@
 
 # Basic drum pattern for accompaniment
 drum_pattern = mm.DrumTrack(
-    [36, 0, 42, 0, 36, 0, 42, 0],  # Kick drum and Hi-hat pattern (adjust as needed)
+    # Kick drum and Hi-hat pattern (adjust as needed)
+    [36, 0, 42, 0, 36, 0, 42, 0],
     start_step=0,
     steps_per_bar=steps_per_music_piece // 4,
     steps_per_quarter=4,
@@ -46,16 +49,19 @@
         steps=steps_per_music_piece,
         primer_sequence=None
     )
-    
+
     # Add chords to the melody sequence based on the preferred genre
-    chords = [chord_progressions.get(preferred_genre, ["C"])[i % len(chord_progressions.get(preferred_genre, ["C"]))] for i in range(steps_per_music_piece)]
+    chords = [chord_progressions.get(preferred_genre, ["C"])[i % len(
+        chord_progressions.get(preferred_genre, ["C"]))] for i in range(steps_per_music_piece)]
     chord_sequence = mm.ChordSequence(chords)
-    melody_with_chords_sequence = mm.sequences_lib.concatenate_sequences(melody_sequence, chord_sequence)
-    
+    melody_with_chords_sequence = mm.sequences_lib.concatenate_sequences(
+        melody_sequence, chord_sequence)
+
     # Create a MIDI file from the melody with chords sequence and drum pattern
-    music_sequence = mm.sequences_lib.concatenate_sequences(melody_with_chords_sequence, drum_pattern)
+    music_sequence = mm.sequences_lib.concatenate_sequences(
+        melody_with_chords_sequence, drum_pattern)
     music_sequence.tempos[0].qpm = preferred_tempo
-    
+
     midi_file = os.path.join(output_dir, f'music_piece_{i + 1}.mid')
     mm.sequence_proto_to_midi_file(music_sequence, midi_file)
     print(f'Music piece {i + 1} generated and saved as {midi_file}')