|
|
import gradio as gr |
|
|
from fastai.vision.all import * |
|
|
|
|
|
def is_cat(x): return x[0].isupper() |
|
|
learn =load_learner ('model.pkl') |
|
|
categories =['dog','Cat'] |
|
|
def classify_image(img): |
|
|
pred,idx,probs = learn.predict(img) |
|
|
return dict(zip(categories,map(float,probs))) |
|
|
|
|
|
def hello(name): |
|
|
return f'Hello {name}' |
|
|
|
|
|
image=gr.inputs.Image(shape=(192,192)) |
|
|
label =gr.outputs.Label() |
|
|
examples = ['dog.jpg','Cat_November_2010-1a.jpg',"Snapchat.jpg"] |
|
|
intf =gr.Interface(fn=classify_image,inputs =image,outputs=label,examples=examples) |
|
|
|
|
|
|
|
|
intf.launch() |
|
|
|
