Create app.py

app.py

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+import gradio as gr
+import mido
+import matplotlib.pyplot as plt
+from pydub import AudioSegment
+from pydub.playback import play
+import io
+
+def visualize_midi(midi_file):
+    # Load MIDI file
+    mid = mido.MidiFile(midi_file.name)
+
+    # Prepare to plot
+    plt.figure(figsize=(10, 4))
+    ticks = []
+    notes = []
+
+    # Extract note and tick data
+    for i, track in enumerate(mid.tracks):
+        time = 0
+        for msg in track:
+            time += msg.time
+            if not msg.is_meta and msg.type == 'note_on':
+                ticks.append(time)
+                notes.append(msg.note)
+
+    plt.scatter(ticks, notes, c='blue', marker='o')
+    plt.xlabel('Ticks')
+    plt.ylabel('Note')
+    plt.title('MIDI Visualization')
+    plt.grid(True)
+
+    # Save plot to a buffer
+    buf = io.BytesIO()
+    plt.savefig(buf, format='png')
+    buf.seek(0)
+    plt.close()
+
+    return buf
+
+def play_midi(midi_file):
+    # Convert MIDI to audio using pydub
+    audio = AudioSegment.from_file(midi_file.name, format='mid')
+    play(audio)
+    return "Playing MIDI..."
+
+# Create Gradio blocks interface
+with gr.Blocks() as demo:
+    midi_input = gr.File(label="Upload MIDI File")
+    midi_visual = gr.Image(type="plot", label="MIDI Visualization")
+    play_button = gr.Button("Play MIDI")
+
+    midi_input.change(visualize_midi, inputs=midi_input, outputs=midi_visual)
+    play_button.click(play_midi, inputs=midi_input, outputs=None)
+
+demo.launch()