add model

.gitattributes

@@ -32,3 +32,5 @@ 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
+*.pkl
+ filter=lfs diff=lfs merge=lfs -text

__init__.py

@@ -0,0 +1 @@
+__version__ = "0.0.1"

app.py

@@ -1,7 +1,28 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'app', 'is_cat', 'classify_image']
+
+# %% ../app.ipynb 2
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper()
+
+# %% ../app.ipynb 4
+learn = load_learner("model.pkl")
+
+# %% ../app.ipynb 6
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+# %% ../app.ipynb 8
+image = gr.Image(shape = (192, 192))
+label = gr.Label()
+examples = ["dog.jpg", "cat.jpg"]
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+app = gr.Interface(fn = classify_image, inputs=image, outputs=label, examples=examples)
+app.launch(inline = False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d2f818ed2c1ca070d2fd6323d44c90b90158303d62a59eeb9101e0430d67d753
+size 47061483