Update app.py

app.py

@@ -1,55 +1,55 @@
 import gradio as gr
-import mido
-import matplotlib.pyplot as plt
-import numpy as np
-import tempfile
-from midi2audio import FluidSynth
 
-def midi_to_audio(midi_file):
-    # Convert MIDI to audio using FluidSynth
-    fs = FluidSynth()
-    with tempfile.NamedTemporaryFile(suffix=".wav") as tmp:
-        fs.midi_to_audio(midi_file.name, tmp.name)
-        return tmp.read()
-
-def visualize_midi(midi_file):
-    # Visualize MIDI data (a simple piano roll visualization)
-    midi = mido.MidiFile(midi_file.name)
-    notes = []
-    for msg in midi.play():
-        if msg.type == 'note_on' and msg.velocity > 0:
-            notes.append((msg.note, msg.time))
+# HTML and JavaScript for the MidiVisualizer
+visualizer_html = """
+<midi-visualizer></midi-visualizer>
+<div id="midi_visualizer_container" style="width: 100%;"></div>
+<audio id="midi_audio" controls></audio>
+
+<script>
+    // Insert the provided JavaScript code here
+</script>
+"""
+
+def process_midi(midi_file):
+    # Process the MIDI file and return the visualization and audio
+    midi_data = midi_file.read()
+    # You would need to implement the actual MIDI parsing and event extraction logic here.
+    # For the sake of example, let's assume we generate MIDI events and an audio file.
+    midi_events = extract_midi_events(midi_data)
+    audio_file = generate_audio_from_midi(midi_data)
     
-    if not notes:
-        return "No note data found in the MIDI file."
-
-    fig, ax = plt.subplots()
-    notes = np.array(notes)
-    ax.scatter(notes[:, 1].cumsum(), notes[:, 0])
-    ax.set_xlabel("Time (s)")
-    ax.set_ylabel("Note")
-    ax.set_title("MIDI Note Visualization")
-
-    with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as tmp:
-        plt.savefig(tmp.name)
-        plt.close(fig)
-        return tmp.name
-
-def process_midi(file):
-    audio = midi_to_audio(file)
-    visualization = visualize_midi(file)
-    return audio, visualization
-
+    # Send MIDI events to the visualizer via messages
+    for event in midi_events:
+        gr.send_message("visualizer_append", {"data": event})
+    gr.send_message("visualizer_end")
+    
+    return visualizer_html, audio_file
+
+def extract_midi_events(midi_data):
+    # Dummy implementation to extract MIDI events from midi_data
+    # Replace this with actual MIDI parsing logic
+    return [
+        ["note", 0, 1, 1, 0, 60, 127],
+        ["note", 1, 1, 1, 0, 64, 127],
+        ["note", 2, 1, 1, 0, 67, 127],
+    ]
+
+def generate_audio_from_midi(midi_data):
+    # Dummy implementation to generate an audio file from midi_data
+    # Replace this with actual audio generation logic
+    return "path/to/generated/audio/file.mp3"
+
+# Gradio UI
 with gr.Blocks() as demo:
-    gr.Markdown("# MIDI Visualizer and Player")
     with gr.Row():
-        with gr.Column():
-            midi_input = gr.File(label="Upload MIDI File")
-            play_button = gr.Button("Play and Visualize")
-        with gr.Column():
-            midi_audio_output = gr.Audio(label="MIDI Audio")
-            midi_visualization_output = gr.Image(label="MIDI Visualization")
-
-    play_button.click(process_midi, inputs=midi_input, outputs=[midi_audio_output, midi_visualization_output])
+        gr.Markdown("# MIDI Visualizer")
+    with gr.Row():
+        midi_input = gr.File(label="Upload MIDI File")
+    with gr.Row():
+        output_html = gr.HTML()
+        audio_output = gr.Audio()
+    
+    midi_input.change(process_midi, inputs=midi_input, outputs=[output_html, audio_output])
 
 demo.launch()