guitar classifier

app.py

@@ -1,7 +1,18 @@
+from fastai.vision.all import *
 import gradio as gr
+import skimage
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('export.pkl')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+title = "Guitar Classifier"
+examples = ['classical.jpg', 'bass.jpeg', 'electric.jpeg']
+interpretation='default'
+enable_queue=True
+
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)

requirements.txt

@@ -0,0 +1,2 @@
+fastai
+scikit-image