Upload Gradio app, model, and environment file with logging

.environment

@@ -0,0 +1 @@
+python_version 3.12

app.py

@@ -4,9 +4,13 @@ from autogluon.tabular import TabularPredictor
 import pandas as pd
 import os
 
+print("Starting app.py script")
+
 # Load the model from the `model/` folder in this repo
 predictor_path = os.path.join(os.path.dirname(__file__), "model")
+print(f"Loading predictor from: {predictor_path}")
 predictor = TabularPredictor.load(predictor_path, require_py_version_match=False)
+print("Predictor loaded successfully")
 
 key_center_mapping = {
     0: "A", 1: "Bb", 2: "B", 3: "C", 4: "Db", 5: "D",
@@ -75,6 +79,7 @@ examples = [
     [174, 129, 31, 2, 1],
 ]
 
+print("Creating Gradio Blocks")
 with gr.Blocks() as demo:
     gr.Markdown("# Classical Music Composer Classifier")
     gr.Markdown("Predict whether a piece was composed by **Mozart** or **Beethoven**.")
@@ -99,3 +104,4 @@ with gr.Blocks() as demo:
 - **Musical Marking**: Tempo/style indication (Minuet=0, Allegro=1, Andante=2, Moderato=3, Allegretto=4, Dance=5)
 ''')
 
+print("Gradio Blocks created")