inintial commit

.ipynb_checkpoints/app-checkpoint.ipynb

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+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

app.py

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+from fastai.vision.all import *
+import gradio as gr
+import torch as t
+
+t.cuda.is_available()
+
+def is_cat(x): return x[0].isupper()
+    
+l=load_learner('model.pkl')
+
+cat=('cat','dog')
+def classify(img):
+    s,i,p=l.predict(img)
+    return dict(zip(cat,map(float,p)))
+
+image=gr.inputs.Image(shape=(192,192))
+label=gr.outputs.Label()
+inf=gr.Interface(fn=classify,inputs=image,outputs=label)
+inf.launch(inline=False)
+

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:aac37d59ff48c175a1b0a8a28216010abdae521a091323a7edd08fb65d705694
+size 47065323