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Update app.py
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app.py
CHANGED
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@@ -7,16 +7,6 @@ import pretty_midi
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import subprocess
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import os
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from openai import OpenAI
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# Audio support flag
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try:
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import pygame
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pygame.mixer.init()
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AUDIO_AVAILABLE = True
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except Exception as e:
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print(f"[WARN] pygame audio init failed: {e}")
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AUDIO_AVAILABLE = False
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midi_path_global = None
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# === LLM APIs ===
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def query_llm(prompt, model_name=None):
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@@ -25,22 +15,24 @@ def query_llm(prompt, model_name=None):
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response = requests.post("http://localhost:11434/api/generate", json={"model": model_name, "prompt": prompt, "stream": False})
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return response.json().get("response", "")
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else:
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# Replace or load from environment
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client = OpenAI(
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response = client.chat.completions.create(
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# === Step 1: Parse intent ===
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def get_intent_from_prompt(prompt, model_name):
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@@ -117,46 +109,17 @@ def midi_from_plan(melody, tempo):
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midi.instruments.append(instrument)
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return midi
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def generate_midi_from_prompt(prompt, model_name):
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global midi_path_global
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intent = get_intent_from_prompt(prompt, model_name)
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melody = get_melody_from_intent(intent, model_name)
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midi = midi_from_plan(melody, intent.get("tempo", 120))
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with tempfile.NamedTemporaryFile(delete=False, suffix=".mid") as tmp:
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midi.write(tmp.name)
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return midi_path_global
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def play_audio():
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if not AUDIO_AVAILABLE:
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return "Audio playback not available."
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if midi_path_global is None:
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return "No MIDI file loaded yet."
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try:
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pygame.mixer.music.load(midi_path_global)
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pygame.mixer.music.play()
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return "Playing audio..."
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except Exception as e:
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return f"Error playing audio: {e}"
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def pause_audio():
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if not AUDIO_AVAILABLE:
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return "Audio playback not available."
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pygame.mixer.music.pause()
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return "Paused."
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def unpause_audio():
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if not AUDIO_AVAILABLE:
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return "Audio playback not available."
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pygame.mixer.music.unpause()
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return "Unpaused."
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if not AUDIO_AVAILABLE:
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return "Audio playback not available."
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pygame.mixer.music.stop()
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return "Stopped."
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# === Get Ollama models ===
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def get_ollama_models():
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@@ -169,7 +132,6 @@ def get_ollama_models():
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# === Gradio UI ===
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models = get_ollama_models()
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demo = gr.Interface(
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fn=generate_midi_from_prompt,
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inputs=[
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gr.File(label="🎵 Download MIDI File")
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],
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title="🎼 Music Command Prompt (MCP Agent)",
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description="Describe your music idea and download a generated MIDI file. Choose from local or OpenAI LLMs."
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)
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with gr.Column(scale=1):
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play_btn = gr.Button("▶ Play")
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pause_btn = gr.Button("⏸ Pause")
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unpause_btn = gr.Button("▶ Resume")
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stop_btn = gr.Button("⏹ Stop")
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with gr.Column(scale=3):
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status = gr.Textbox(label="Audio Status", interactive=False)
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play_btn.click(play_audio, None, status)
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pause_btn.click(pause_audio, None, status)
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unpause_btn.click(unpause_audio, None, status)
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stop_btn.click(stop_audio, None, status)
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import subprocess
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import os
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from openai import OpenAI
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# === LLM APIs ===
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def query_llm(prompt, model_name=None):
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response = requests.post("http://localhost:11434/api/generate", json={"model": model_name, "prompt": prompt, "stream": False})
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return response.json().get("response", "")
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else:
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client = OpenAI(
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base_url="https://api.studio.nebius.com/v1/",
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api_key=os.environ.get("NEBIUS_API_KEY")
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)
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response = client.chat.completions.create(
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model="Qwen/Qwen3-30B-A3B",
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messages=[
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{
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"role": "system",
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"content": "You are a helpful assistant."
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},
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{
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"role": "user",
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"content": prompt
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}
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]
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)
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return response.choices[0].message.content
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# === Step 1: Parse intent ===
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def get_intent_from_prompt(prompt, model_name):
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midi.instruments.append(instrument)
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return midi
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# === Gradio function ===
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def generate_midi_from_prompt(prompt, model_name):
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intent = get_intent_from_prompt(prompt, model_name)
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melody = get_melody_from_intent(intent, model_name)
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midi = midi_from_plan(melody, intent.get("tempo", 120))
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with tempfile.NamedTemporaryFile(delete=False, suffix=".mid") as tmp:
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midi.write(tmp.name)
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midi_path = tmp.name
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return midi_path
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# === Get Ollama models ===
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def get_ollama_models():
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# === Gradio UI ===
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models = get_ollama_models()
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demo = gr.Interface(
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fn=generate_midi_from_prompt,
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inputs=[
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gr.File(label="🎵 Download MIDI File")
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],
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title="🎼 Music Command Prompt (MCP Agent)",
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description="Describe your music idea and download a generated MIDI file. Choose from local or Nebius/OpenAI LLMs."
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)
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demo.launch(mcp_server=True)
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