import gradio as gr | |
from fastai.vision.all import * | |
# def greet(name): | |
# return "Hello " + name + "!!" | |
learn = load_learner('mig_or_su.pkl') | |
labels = learn.dls.vocab | |
def predict(img): | |
img = PILImage.create(img) | |
pred,pred_idx,probs = learn.predict(img) | |
return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
examples = ['mig.jpg', 'su.jpg'] | |
gr.Interface(fn=predict,inputs="image", outputs="label", title="Mig-29 or Su-27", examples=examples, interpretation=interpretation,enable_queue=True).launch() | |
# iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
# iface.launch() |