lfs

.gitattributes

@@ -33,3 +33,4 @@ 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
+c_pc_p_model.pkl filter=lfs diff=lfs merge=lfs -text

app.py

@@ -1,7 +1,17 @@
 import gradio as gr
+from fastai.vision.all import *
+from fastcore.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner("c_pc_p_model.pkl")
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+classes = ["Cake", "Pancake", "Pie"]
+def classify_image(img):
+	pred, idx, probs = learn.predict(img)
+	return dict(zip(classes, map(float, probs)))
+
+image = gr.Image()
+label = gr.Label()
+examples = ["cake.jpg", "pancake.jpg", "pancakepie.jpg", "pie.jpg", "piecake.jpg"]
+
+intrf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intrf.launch(inline=False)