upload

app.py

@@ -0,0 +1,19 @@
+import fastai
+from fastai.vision.all import *
+import pathlib
+plt = platform.system()
+if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath
+import gradio as gr
+def Panther_Identifier(x): return x[0].isupper()
+
+learn = load_learner('model.pkl')
+categories = ('Leão','Onça-pintada','Leopardo','Tigre','Leopardo-das-neves')
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+image=gr.inputs.Image(shape=(192,192))
+label=gr.outputs.Label()
+examples=['Panhtera_tigris.jpg','Panhtera_uncia.jpg']
+intf=gr.Interface(fn=classify_image,inputs=image,outputs=label, examples=examples)
+intf.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a0479c12f21da58bccbfcbf6fdfec18eea5b84e9c8e8fdb81b8b65f194e832c4
+size 46979281