adding my files

.gitattributes

@@ -32,3 +32,4 @@ 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
+*.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,34 @@
+from fastai.vision.all import *
+import gradio as gr
+import pathlib, os
+
+
+classes = ['rock', 'paper', 'scissors'] # c0, c1, c2
+
+def classify_image(img, model):
+    if os.name == 'nt': # workaround for Windows
+        pathlib.PosixPath = pathlib.WindowsPath 
+    if os.name == 'posix': # workaround for Linux
+            pathlib.WindowsPath = pathlib.PosixPath 
+
+    learn = load_learner(model)
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(classes, map(float, probs)))
+
+models = ['rock-paper-scissors-squeezenet.pkl','rock-paper-scissors-resnet34.pkl']
+model = gr.Dropdown(models, label="Select Model")
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = [
+    ['c0-rock-IMG_20230225_171937.jpg'],
+    ['c0-rock-IMG_20230225_171940.jpg'],
+    ['c1-paper-IMG_20230225_172010.jpg'],
+    ['c1-paper-IMG_20230225_172018.jpg'],
+    ['c2-scissors-IMG_20230225_172025.jpg'],
+    ['c2-scissors-IMG_20230225_172033.jpg']
+ ]
+
+# iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+iface = gr.Interface(fn=classify_image, inputs=[image, model], outputs=label, examples=examples)
+iface.launch()    

requirements.txt

@@ -0,0 +1,3 @@
+fastai
+torch
+gradio

rock-paper-scissors-resnet34.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2cd76ad5e04de5d1057ea787ca9a2620c2c073eeb4fec8b8d64466df54fbbabb
+size 87523036

rock-paper-scissors-squeezenet.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9520376833818d557b0c9028043bb84ea8c9d1a9dd34210f4071748d59761aed
+size 5167991