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1d4036b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | # Load modules
from fastai.text.all import *
import gradio as gr
# Load trained model
learn = load_learner("model.pkl")
# Prepare classifier function and categories
categories = ("negative", "positive")
def classify_text(text):
pred, idx, probs = learn.predict(text)
# Same as {"negative": probs[0], "positive": probs[1]}
return dict(zip(categories, map(float, probs)))
# Setup input, output GUI, and algorithm block
image = gr.inputs.Textbox()
label = gr.outputs.Label()
intf = gr.Interface(fn=classify_text, inputs=image, outputs=label)
intf.launch(inline=False)
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