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maartenbreddels/

solara-transformers_js_py

Sentiment Analysis Solara app using Transformers-JS-Py

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  • app.py
  • requirements.txt
app.py
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import solara

clicks = solara.reactive(0)
input = solara.reactive("I love transformers")

from transformers_js_py import import_transformers_js

@solara.lab.task
async def run(input):

    transformers = await import_transformers_js()
    pipeline = transformers.pipeline

    # Allocate a pipeline for sentiment-analysis
    pipe = await pipeline('sentiment-analysis')

    out = await pipe(input)
    # [{'label': 'POSITIVE', 'score': 0.999817686}]
    return out

@solara.component
def Page():
    if run.error:
        solara.Error(repr(run.exception))
    with solara.Card("Sentiment analysis"):
        solara.ProgressLinear(run.pending)
        with solara.Div():
            solara.InputText(label="Input", value=input)
            solara.Button(label=f"Analyze sentiment", on_click=lambda: run(input.value), color="primary", filled=True)
        if run.finished:
            solara.Text(repr(run.value))