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/my-awesome-tx-v2', 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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)
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demo.launch()
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