PyCafe - Panel - Sentiment Analysis Using Transformers.js

app.py
requirements.txt

app.py

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# Reference example for https://github.com/whitphx/transformers.js.py
import panel as pn

pn.extension(sizing_mode="stretch_width", design="material")

@pn.cache
async def _get_pipeline(model="sentiment-analysis"):
    from transformers_js_py import import_transformers_js
    transformers = await import_transformers_js()
    return await transformers.pipeline(model)


text_input = pn.widgets.TextInput(placeholder="Send a message", name="Message")
button = pn.widgets.Button(name="Send", icon="send", align="end", button_type="primary")

@pn.depends(text_input, button)
async def _response(text, event):
    if not text:
        return {}
    pipe = await _get_pipeline()
    return await pipe(text)

pn.Column(
    text_input, button, pn.pane.JSON(_response, depth=2)
).servable()

Py.Cafe

transformers-sentiment-analysis

Sentiment Analysis Using Transformers.js