working v1 with 3 random examples

.gitignore

@@ -0,0 +1 @@
+env

README.md

@@ -11,3 +11,6 @@ license: mit
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+Requires git-lfs for model file, to install on google cloud shell:
+```sudo apt-get install git-lfs```

app.py

@@ -1,10 +1,20 @@
 import gradio as gr
 from fastai.vision.all import *
-
-def greet(name):
-    return "Hello " + name + "!!"
+from os import listdir
+import random
 
 learn = load_learner('hockey_model.pkl')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+categories = ('Hockey Goalie', 'Hockey Player', "Hockey Referee")
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+skater_example = 'assets/skaters/' + random.choice(listdir('assets/skaters')) 
+ref_example = 'assets/referees/' + random.choice(listdir('assets/referees'))
+goalie_example = 'assets/goalies/' + random.choice(listdir('assets/goalies'))
+
+def classify_image(img):
+    pred,idx,prob = learn.predict(img)
+    return dict(zip(categories, map(float, prob)))
+
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=[skater_example, ref_example, goalie_example])
+iface.launch(share=True, debug=True)

pytorch-cpu.requirements.txt

@@ -0,0 +1,5 @@
+-i https://download.pytorch.org/whl/cpu
+torch
+torchvision
+torchaudio
+