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Update app.py
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app.py
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@@ -9,6 +9,7 @@ import os
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import sys
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import pickle
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import tempfile
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from huggingface_hub import hf_hub_download
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# Add text2midi model to path
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@@ -124,52 +125,64 @@ def midi_to_wav(midi_path: str, wav_path: str, sample_rate: int = 44100) -> bool
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return os.path.exists(wav_path)
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def generate_music(prompt: str):
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"""Generate music from text prompt. Returns audio file path."""
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if not prompt or not prompt.strip():
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return None
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try:
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# Create
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return wav_path
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else:
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return None
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os.unlink(midi_path)
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except:
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pass
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except Exception as e:
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import traceback
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traceback.print_exc()
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return None
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# Create simple Gradio Interface
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demo = gr.Interface(
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fn=generate_music,
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inputs=gr.Textbox(
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@@ -186,8 +199,10 @@ demo = gr.Interface(
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["A slow emotional classical piece with violin"],
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["Epic cinematic soundtrack with dark atmosphere"],
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],
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allow_flagging="never"
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)
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# Launch
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import sys
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import pickle
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import tempfile
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import shutil
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from huggingface_hub import hf_hub_download
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# Add text2midi model to path
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return os.path.exists(wav_path)
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def generate_music(prompt: str):
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"""Generate music from text prompt. Returns audio file path or tuple (sample_rate, audio_data)."""
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if not prompt or not prompt.strip():
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return None
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midi_path = None
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wav_path = None
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try:
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# Create persistent output directory
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output_dir = "output"
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os.makedirs(output_dir, exist_ok=True)
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# Create files with proper names in persistent directory
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import time
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timestamp = int(time.time() * 1000)
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midi_path = os.path.join(output_dir, f"music_{timestamp}.mid")
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wav_path = os.path.join(output_dir, f"music_{timestamp}.wav")
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# Generate MIDI
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if MODEL_LOADED:
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generate_midi_with_model(prompt, midi_path, max_len=512, temperature=0.9)
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else:
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from midiutil import MIDIFile
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midi = MIDIFile(1)
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midi.addTempo(0, 0, 120)
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notes = [60, 62, 64, 65, 67, 69, 71, 72]
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for i, note in enumerate(notes[:min(len(prompt.split()), 8)]):
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midi.addNote(0, 0, note, i, 1, 100)
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with open(midi_path, "wb") as f:
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midi.writeFile(f)
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# Convert to WAV
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if SOUNDFONT_PATH and midi_to_wav(midi_path, wav_path):
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# Verify the file exists and has content
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if os.path.exists(wav_path) and os.path.getsize(wav_path) > 0:
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print(f"Generated audio file: {wav_path} ({os.path.getsize(wav_path)} bytes)")
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return wav_path
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else:
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print(f"WAV file is empty or doesn't exist")
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return None
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else:
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print("Failed to convert MIDI to WAV")
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return None
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except Exception as e:
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print(f"Error generating music: {e}")
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import traceback
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traceback.print_exc()
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return None
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finally:
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# Clean up MIDI file but keep WAV for Gradio to serve
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if midi_path and os.path.exists(midi_path):
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try:
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os.unlink(midi_path)
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except:
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pass
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# Create simple Gradio Interface
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demo = gr.Interface(
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fn=generate_music,
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inputs=gr.Textbox(
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["A slow emotional classical piece with violin"],
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["Epic cinematic soundtrack with dark atmosphere"],
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],
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allow_flagging="never",
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cache_examples=False
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)
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# Launch
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if __name__ == "__main__":
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demo.launch(show_api=True)
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