hanlde_form_submit.py

from time import time

import streamlit as st
from grouped_sampling import GroupedSamplingPipeLine


def generate_text(
        pipeline: GroupedSamplingPipeLine,
        prompt: str,
        output_length: int,
) -> str:
    """
    Generates text using the given pipeline.
    :param pipeline: The pipeline to use. GroupedSamplingPipeLine.
    :param prompt: The prompt to use. str.
    :param output_length: The size of the text to generate in tokens. int > 0.
    :return: The generated text. str.
    """
    return pipeline(
        prompt_s=prompt,
        max_new_tokens=output_length,
        return_text=True,
        return_full_text=False,
    )["generated_text"]


def on_form_submit(
        pipeline: GroupedSamplingPipeLine,
        output_length: int,
        prompt: str,
) -> str:
    """
    Called when the user submits the form.
    :param pipeline: The pipeline to use. GroupedSamplingPipeLine.
    :param output_length: The size of the groups to use.
    :param prompt: The prompt to use.
    :return: The output of the model.
    :raises ValueError: If the model name is not supported, the output length is <= 0,
     the prompt is empty or longer than
     16384 characters, or the output length is not an integer.
     TypeError: If the output length is not an integer or the prompt is not a string.
     RuntimeError: If the model is not found.
    """
    if len(prompt) == 0:
        raise ValueError("The prompt must not be empty.")
    st.write("Generating text...")
    print("Generating text...")
    generation_start_time = time()
    generated_text = generate_text(
        pipeline=pipeline,
        prompt=prompt,
        output_length=output_length,
    )
    generation_end_time = time()
    generation_time = generation_end_time - generation_start_time
    st.write(f"Finished generating text in {generation_time:,.2f} seconds.")
    print(f"Finished generating text in {generation_time:,.2f} seconds.")
    return generated_text