simple interface built

aih_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:60b6145a2a1c9b374b1c7b642c9847a3712c1b4693d77dedeb46a10160d0bcb6
+size 46971755

app.py

@@ -1,12 +1,19 @@
+from fastai.vision.all import *
+from pathlib import Path
 import gradio as gr
 
-def greet(name):
-    return "Hey " +name+ "!!"
+learn = load_learner('aih_model.pkl')
 
-iface = gr.Interface(
-    fn=greet,
-    inputs='text',
-    outputs='text'
-)
+categories = ('AI Hand', 'Human Hand')
 
-iface.launch()
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.Image(shape=(512,512))
+label = gr.Label()
+examples = [str(x) for x in Path('./samples').glob('*')]
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label,
+                    examples=examples)
+intf.launch()