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.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
+dog.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -1,7 +1,55 @@
+# %%
+pip install -Uqq fastbook
+
+# %%
+#|export
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_bird(x): return x[0].isupper()
+
+# %%
+im = PILImage.create('dog.jpg')
+im.thumbnail((192,192))
+im
+
+# %%
+import pathlib
+temp = pathlib.PosixPath
+pathlib.PosixPath = pathlib.WindowsPath
+
+# %%
+#|export
+learn = load_learner('birdclassifiermodel.pkl')
+
+# %%
+learn.predict(im)
+
+# %%
+#|export
+categories = ('bird','not a bird')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+
+# %%
+classify_image(im)
+
+# %%
+#|export
+image = gr.inputs.Image(shape =(192,192))
+label = gr.outputs.Label()
+examples = ['dog.jpg', 'elephant.jpeg', 'dog.jpeg']
+
+intf = gr.Interface(fn =classify_image, inputs=image, outputs=label, examples = examples)
+intf.launch(inline=False)
+
+# %%
+
+
+# %% [markdown]
+# 
+
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()

birdclassifiermodel.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c3ed195db4e8ae52a2ab0e16dc33e4f0dfa5eb7624b089953ec8fca7de294f07
+size 46954863

config

@@ -0,0 +1,6 @@
+[core]
+	repositoryformatversion = 0
+	filemode = false
+	bare = true
+	symlinks = false
+	ignorecase = true

description

@@ -0,0 +1 @@
+Unnamed repository; edit this file 'description' to name the repository.