Create app.py

app.py

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