Update app.py

app.py

@@ -1,14 +1,46 @@
-!pip install jukebox
-import jukebox
+!pip install openai mido pretty_midi
+import openai
+import mido
+import pretty_midi
 
-# Load the Jukebox-AI model
-model = jukebox.SamplingModel(model='jukebox', hps='big')
+# Set up your OpenAI API key
+openai.api_key = "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"
 
-# Define the prompt
-prompt = "A funky beat with a groovy bassline and catchy lyrics"
+# Load the MIDI file
+midi_file = 'example.mid'
+midi_data = mido.MidiFile(midi_file)
+midi_pretty = pretty_midi.PrettyMIDI(midi_file)
 
-# Generate the music sample
-sample = model.sample(n_samples=1, prompt=prompt, length=96_000)[0]
+# Convert MIDI data to a prompt for Musenet
+tempo = midi_pretty.get_tempo_changes()[0][0]
+key_signature = midi_pretty.key_signature_changes[0].key_number
+prompt = f"extend this {tempo:.0f}bpm {pretty_midi.key_name(key_signature)} MIDI file"
 
-# Save the music sample as a WAV file
-jukebox.save_wav(sample, "my_music_sample.wav")
+# Define the parameters for the Musenet generation
+model = "openai/musenet"
+length = 32  # Length of the generated audio in bars
+temperature = 0.7  # Controls the randomness of the generation
+
+# Generate the MIDI with Musenet
+response = openai.Completion.create(
+    engine=model,
+    prompt=prompt,
+    max_tokens=1024,
+    n=1,
+    stop=None,
+    temperature=temperature,
+    timeout=60,
+)
+midi_data.extend(mido.MidiFile(type=1, ticks_per_beat=480))
+for note in response.choices[0].text.strip().split():
+    pitch, start, duration, velocity = note.split(',')
+    start = float(start) * 480
+    duration = float(duration) * 480
+    velocity = int(float(velocity) * 127)
+    midi_data.add_track([
+        mido.Message('note_on', note=int(pitch), velocity=velocity, time=int(start)),
+        mido.Message('note_off', note=int(pitch), velocity=velocity, time=int(start + duration))
+    ])
+
+# Save the extended MIDI file
+midi_data.save('extended.mid')