Adding app.py

app.py

@@ -0,0 +1,20 @@
+from fastai.vision.all import *
+import librosa
+import gradio as gr
+
+learn = load_learner('audio_mnist_classifier_v1.pkl')
+categories = ('0', '1', '2', '3', '4', '5', '6', '7', '8', '9')
+
+def mel_spectrogram_tfm(file):
+    y, sr = librosa.load(file)
+    spec = librosa.feature.melspectrogram(y, sr=sr, n_fft=2048, hop_length=512)
+    spec_db = librosa.amplitude_to_db(spec, ref=np.max)
+    return spec_db
+
+def classify(audio):
+    img = mel_spectrogram_tfm(audio)
+    img = PILImage.resize((225,225))
+    pred, idx, prob = learn.predict(img)
+    return dict(zip(categories, map(float, prob)))
+
+gr.Interface(fn=classify, inputs=gr.Audio(source="microphone", type="filepath"), outputs=gr.outputs.Label()).launch()