fix3

app.py

@@ -1,12 +1,3 @@
-# %% [markdown]
-# Dogs vs Cats
-
-# %%
-# |default_exp app
-# !pip install gradio
-
-# %%
-# |export
 from fastai.vision.all import *
 import gradio as gr
 
@@ -15,22 +6,13 @@ def is_cat(x):
     return x[0].isupper()
 
 
-# %%
-im = PILImage.create("dog.jpg")
-im.thumbnail((192, 192))
-im
-
-# %%
-# |export
+# im = PILImage.create("dog.jpg")
+# im.thumbnail((192, 192))
+# im
 
 learn = load_learner("model.pkl")
+# learn.predict(im)
 
-# %%
-# %time learn.predict(im)
-learn.predict(im)
-
-# %%
-# |export
 categories = ("Dog", "Cat")
 
 
@@ -39,11 +21,8 @@ def classify_image(img):
     return dict(zip(categories, map(float, probs)))
 
 
-# %%
-classify_image(im)
+# classify_image(im)
 
-# %%
-# |export
 image = gr.inputs.Image(shape=(192, 192))
 label = gr.outputs.Label()
 examples = ["dog.jpg", "cat.jpg", "dunno.jpg"]

requirements.txt

@@ -0,0 +1,2 @@
+fastai
+gradio