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Create app.py
#1
by
florentgbelidji
HF staff
- opened
app.py
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import gradio as gr
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from transformers import pipeline
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pipe = pipeline("text-classification", model="qualitydatalab/autotrain-car-review-project-966432120")
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def predict(text):
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label2emoji = {"poor": "βΉοΈ", "ok": "π", "great": "π"}
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preds = pipe(text)[0]
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return label2emoji[preds["label"]], round(preds["score"], 5)
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gradio_ui = gr.Interface(
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fn=predict,
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title="Predicting review scores from customer reviews",
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description="Enter some review text about an Amazon product and check what the model predicts for it's star rating.",
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inputs=[
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gr.inputs.Textbox(lines=5, label="Paste some text here"),
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],
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outputs=[
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gr.outputs.Textbox(label="Label"),
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gr.outputs.Textbox(label="Score"),
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],
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examples=[
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["I love these running shoes!"], ["Ich hasse dieses Buch"],
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],
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)
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gradio_ui.launch(debug=True)
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