updated

app.py

@@ -0,0 +1,17 @@
+import gradio as gr
+from fastai.vision.all import *
+import skimage
+import re
+
+
+
+learn = load_learner('export.pkl')
+  
+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 = "rock classifier"
+gr.Interface(fn=predict, inputs=gr.Image(), outputs=gr.Label(num_top_classes=7)).launch(share=True)