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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

model_id = 'Xenova/Phi-3-mini-4k-instruct_fp16'

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

    transformers = await import_transformers_js()
    pipeline = transformers.pipeline

    pipe = await pipeline('text-generation', 'Xenova/distilgpt2')

    out = await pipe('Once upon a time,')

    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))