Upload app.py

app.py

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+# AUTOGENERATED! DO NOT EDIT! File to edit: ../../A_Practical_Deep_Learning/Untitled.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
+
+# %% ../../A_Practical_Deep_Learning/Untitled.ipynb 1
+from fastai.vision.all import *
+import gradio as gr
+
+def is_cat(x): return x[0].isupper()
+
+# %% ../../A_Practical_Deep_Learning/Untitled.ipynb 4
+learn = load_learner("model (1).pkl")
+
+# %% ../../A_Practical_Deep_Learning/Untitled.ipynb 6
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+# %% ../../A_Practical_Deep_Learning/Untitled.ipynb 8
+image = gr.components.Image(shape=(192,192))
+label = gr.components.Label()
+# examples = [r"C:\Users\Kush\Downloads\dog.jpg", r"C:\Users\Kush\Downloads\scared-hamster.jpg", r"C:\Users\Kush\Downloads\Converse Welcomes Baby Keem to the Family.png"]
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
+intf.launch(inline=False, share=True)
+
+# %%