Create app.py
Browse files
app.py
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import gradio as gr
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from transformers import pipeline
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classifier = pipeline(task='text-classification', model='cwchang/text-classification-model-multilingual', device=-1)
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def classify(text):
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return classifier(text)[0]["label"]
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demo = gr.Interface(
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fn=classify,
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inputs=gr.Textbox(placeholder="Please enter the text..."),
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outputs="label",
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examples=[
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["What's the weather like today?"],
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["Set an alarm for 7 AM tomorrow"],
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["Call Mom"],
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["Send a text to Alex saying, 'I'll be there in 15 minutes'"],
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["Play some relaxing music"],
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["Remind me to buy milk when I'm at the grocery store"],
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["How do I get to the nearest coffee shop?"],
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["What's the latest news?"],
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["Translate 'thank you' into Spanish"],
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["Add a meeting to my calendar for next Monday at 3 PM"],
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["查詢今天的空氣品質指數"],
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["明早八點鐘設一個鬧鐘"],
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["給老闆發一封電子郵件,確認下週會議的時間"],
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["給李明打個電話,問他晚餐時間是否方便"],
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["播放一首運動時的動感音樂"],
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["我到圖書館時,提醒我還書"],
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["告訴我到最近的郵局怎麼走"],
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["播報一下今天的頭條新聞"],
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["將“生日快樂”翻譯成法語"],
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["在下週三上午10點的日程中加入牙醫預約"],]
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)
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demo.launch()
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