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from h2o_wave import main, app, Q, ui, copy_expando
from transformers import pipeline
async def init(q: Q):
if not q.client.app_initialized:
q.app.model = pipeline("text-generation")
q.client.app_initialized = True
q.page.drop()
q.page["title"] = ui.header_card(
box="1 1 8 1",
title="Text Generation",
subtitle="Generate text using Huggingface pipelines",
icon="AddNotes",
icon_color="Blue",
)
async def get_inputs(q: Q):
q.page['main'] = ui.form_card(box="1 2 8 5", items=[
ui.text_xl('Enter your text input for generation:'),
ui.textbox(name="input_text",
label='',
value=q.app.input_text,
multiline=True),
ui.separator(),
ui.slider(name="num_words_to_generate",
label="Maximum number of words to generate (including input text)",
min=5,
max=50,
step=1,
value=q.app.num_words_to_generate if q.app.num_words_to_generate else 12,
),
ui.separator(),
ui.buttons([ui.button(name="generate_text", label='Generate', primary=True),
])
])
async def show_results(q: Q):
q.page['main'] = ui.form_card(box="1 2 4 5", items=[
ui.text_xl("Input Text:"),
ui.separator(),
ui.text(q.app.input_text),
ui.separator(),
ui.buttons([ui.button(name="get_inputs", label='Try Again!', primary=True),
])
])
result = q.app.model(q.app.input_text, max_length=q.app.num_words_to_generate, do_sample=False)[0]
q.app.generated_text = result["generated_text"]
q.page['visualization'] = ui.form_card(box="5 2 4 5", items=[
ui.text_xl("Generated Text:"),
ui.separator(''),
ui.text(q.app.generated_text)
])
@app("/")
async def serve(q: Q):
await init(q)
if q.args.generate_text:
copy_expando(q.args, q.app)
await show_results(q)
else:
await get_inputs(q)
await q.page.save()