Trombone Classifier

app.py

@@ -1,7 +1,12 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-  return "Hello " + name + "!"
+learn = load_learner('trombones.pkl')
+categories = learn.dls.vocab
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(224, 224)), outputs=gr.outputs.Label()).launch(inline=False)

trombones.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c44e2f7c07f5d89b694e3b93a9a0d4637cebe918c15ad3bf7d5fe786baaf02e
+size 242082501

trombones/__init__.py

@@ -0,0 +1 @@
+__version__ = "0.0.1"

trombones/app.py

@@ -0,0 +1,11 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../trombones.ipynb.
+
+# %% auto 0
+__all__ = ['learn']
+
+# %% ../trombones.ipynb 1
+from fastai.vision.all import *
+import gradio as gr
+
+# %% ../trombones.ipynb 2
+learn = load_learner('trombones.pkl')