update

.gitignore

@@ -0,0 +1,6 @@
+*.ipynb
+
+
+
+
+

README.md

@@ -10,4 +10,6 @@ pinned: false
 license: apache-2.0
 ---
 
+Following FASTAI course, lesson 2, I have created a simple app to classify images of bunnies. The app is deployed on Hugging Face Spaces and can be accessed at https://huggingface.co/spaces/akhaliq/FastAI-02
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -1,7 +1,29 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+# def greet(name):
+#     return "Hello " + name + "!!"
+im = PILImage.create('Cat.jpg')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch(share='True')
+categories = ('Dog','Cat')
+learn = load_learner('model.pkl')
+
+def is_cat(x):
+    return x[0].isupper()
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+# classify_image(im)
+
+image = gr.inputs.Image(shape = (192,192))
+label = gr.outputs.Label()
+examples = ['./Cat.jpg','./dog.jpg','./heh.jpg']
+
+intf = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
+intf.launch(inline=False,share=True)
+
+
+# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+# iface.launch(share='True')

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bf1424fc2d016c25f573df9618d9eef56ac5b2e7fc25fa4a3a0220e51225a73b
+size 46975422

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d87f9bf95b98d3f0b88f586bf1b02c49b476a74d4855485c236498961dc1a995
+size 47061419