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import gradio as gr
from fastai.vision.all import *
from PIL import Image
learn_inf = load_learner("export.pkl")
def predict(value) -> str:
img = Image.fromarray(value).convert('LA')
pred,pred_idx,probs = learn_inf.predict(img)
return f"{pred} at {probs[pred_idx]}"
with gr.Blocks() as demo:
with gr.Row():
with gr.Column():
input_img = gr.Image(label="Input", sources="webcam")
with gr.Column():
output_lbl = gr.Label(value="Output", label="Expression Prediction")
input_img.stream(fn=predict, inputs=input_img, outputs=output_lbl, time_limit=15, stream_every=0.1, concurrency_limit=30)
if __name__ == "__main__":
demo.launch() |