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import gradio as gr] | |
import pickle | |
import numpy as np | |
model = pickle.load(open("model.pkl","rb")) | |
def predict_v(input_value): | |
try: | |
if input_value == None: pass | |
except: | |
return np.argmax(input_value / 255.) | |
gr.Interface(fn=predict_v, | |
inputs = gr.SketchPad(), | |
outputs="number").launch() |