final

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+model.pkl filter=lfs diff=lfs merge=lfs -text

.mambarc

@@ -0,0 +1,3 @@
+channels:
+  - conda-forge
+always_yes: false

app.py

@@ -0,0 +1,22 @@
+import gradio as gr
+from fastai.vision.all import *
+import logging
+
+
+def is_cat(x): return x[0].isupper()
+
+learn = load_learner('model.pkl')
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    logging.info(pred, probs)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+demo = gr.Interface(
+  fn=predict,
+  inputs=gr.Image(),
+  outputs=gr.Label(num_top_classes=3)
+)
+
+demo.launch()