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import gradio as gr
from model import inference
def predict(sentence: str):
model_response = inference({"sentence": sentence})
prob = model_response["answer"]
df = {
"1": float(prob[1][0][2]),
"0": float(prob[1][0][1]),
"-1": float(prob[1][0][0]),
"Communication": float(prob[0][0][1]),
"Quality": float(prob[0][0][2]),
"Price": float(prob[0][0][3]),
"Safety": float(prob[0][0][4]),
}
return (
df["1"],
df["0"],
df["-1"],
df["Communication"],
df["Quality"],
df["Price"],
df["Safety"],
)
if __name__ == "__main__":
print("App started")
gr.Interface(
fn=predict,
title="Try it yourself!",
inputs=gr.Textbox(lines=3, placeholder="Sentence here..."),
outputs=[
gr.Number(0.0, label="1"),
gr.Number(0.0, label="0"),
gr.Number(0.0, label="-1"),
gr.Number(0.0, label="Communication"),
gr.Number(0.0, label="Quality"),
gr.Number(0.0, label="Price"),
gr.Number(0.0, label="Safety"),
],
).launch()
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