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import gradio as gr
from fastai.vision.all import *
def greet(name):
return "Hello " + name + "!!"
learn = load_learner("model.pkl");
def is_cat(x): return x[0].isupper()
categories = {"No_Cat","Cat"}
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ["[email protected]","[email protected]","[email protected]","[email protected]"]
intf = gr.Interface(fn=classify_image,inputs = image,outputs = label,examples = examples)
intf.launch(inline=False)
demo = gr.Interface(fn=greet, inputs="text", outputs="text")
demo.launch() |