# 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)