app.py

import streamlit as st

import torch
from transformers import pipeline, set_seed
from transformers import AutoTokenizer

from PIL import (
    Image,
    ImageFont,
    ImageDraw
)

import re
from examples import EXAMPLES
import meta
from utils import (
    remote_css,
    local_css,
    load_image,
    pure_comma_separation
)


class TextGeneration:
    def __init__(self):
        self.debug = True
        self.dummy_output = {
            'directions': [
                'peel the potato and slice thinly.',
                'place in a microwave safe dish.',
                'cover with plastic wrap and microwave on high for 5 minutes.',
                'remove from the microwave and sprinkle with cheese.',
                'return to the microwave for 1 minute or until cheese is melted.',
                'return to the microwave for 1 minute or until cheese is melted.',
                'return to the microwave for 1 minute or until cheese is melted.'
            ],
            'ingredients': [
                '1 potato',
                '1 slice cheese',
                '1 potato',
                '1 slice cheese'
                '1 potato',
                '1 slice cheese',
                '1 slice cheese',
                '1 potato',
                '1 slice cheese'
                '1 potato',
                '1 slice cheese',
            ],
            'title': 'Cheese Potatoes'
        }
        self.tokenizer = None
        self.generator = None
        self.task = "text2text-generation"
        self.model_name_or_path = "flax-community/t5-recipe-generation"
        self.h1_font = ImageFont.truetype("asset/fonts/PT_Serif/PTSerif-Bold.ttf", 100)
        self.h2_font = ImageFont.truetype("asset/fonts/PT_Serif/PTSerif-Bold.ttf", 50)
        self.p_font = ImageFont.truetype("asset/fonts/PT_Serif/PTSerif-Regular.ttf", 30)
        set_seed(42)

    def _skip_special_tokens_and_prettify(self, text):
        recipe_maps = {"<sep>": "--", "<section>": "\n"}
        recipe_map_pattern = "|".join(map(re.escape, recipe_maps.keys()))

        text = re.sub(
            recipe_map_pattern,
            lambda m: recipe_maps[m.group()],
            re.sub("|".join(self.tokenizer.all_special_tokens), "", text)
        )

        data = {"title": "", "ingredients": [], "directions": []}
        for section in text.split("\n"):
            section = section.strip()
            if section.startswith("title:"):
                data["title"] = " ".join(
                    [w.strip().capitalize() for w in section.replace("title:", "").strip().split() if w.strip()]
                )
            elif section.startswith("ingredients:"):
                data["ingredients"] = [s.strip() for s in section.replace("ingredients:", "").split('--')]
            elif section.startswith("directions:"):
                data["directions"] = [s.strip() for s in section.replace("directions:", "").split('--')]
            else:
                pass

        return data

    def load(self):
        if not self.debug:
            self.tokenizer = AutoTokenizer.from_pretrained(self.model_name_or_path)
            self.generator = pipeline(self.task, model=self.model_name_or_path, tokenizer=self.model_name_or_path)

    def prepare_frame(self, recipe, frame):
        im_editable = ImageDraw.Draw(frame)
        # Title
        ws, hs = 120, 500
        im_editable.text(
            (ws, hs),
            recipe["title"],
            (61, 61, 70),
            font=self.h1_font,
        )
        # Ingredients
        hs = hs + 200
        im_editable.text(
            (ws, hs),
            "Ingredients",
            (61, 61, 70),
            font=self.h2_font,
        )
        hs = hs + 80
        im_editable.text(
            (ws + 10, hs),
            "\n".join([f"- {item}" for item in recipe["ingredients"]]),
            (61, 61, 70),
            font=self.p_font,
        )
        # Directions
        hs = hs + 400
        im_editable.text(
            (ws, hs),
            "Directions",
            (61, 61, 70),
            font=self.h2_font,
        )
        hs = hs + 80
        im_editable.text(
            (ws + 10, hs),
            "\n".join([f"- {item}" for item in recipe["directions"]]),
            (61, 61, 70),
            font=self.p_font,
        )
        return frame

    def generate(self, items, generation_kwargs):
        print(generation_kwargs)
        if not self.debug:
            generation_kwargs["num_return_sequences"] = 1
            # generation_kwargs["return_full_text"] = False
            generation_kwargs["return_tensors"] = True
            generation_kwargs["return_text"] = False

            generated_ids = self.generator(
                items,
                **generation_kwargs,
            )[0]["generated_token_ids"]
            recipe = self.tokenizer.decode(generated_ids, skip_special_tokens=False)
            recipe = self._skip_special_tokens_and_prettify(recipe)
            return recipe

        return self.dummy_output

    def generate_frame(self, recipe):
        frame = load_image("asset/images/recipe-post.png")
        return self.prepare_frame(recipe, frame)


@st.cache(allow_output_mutation=True)
def load_text_generator():
    generator = TextGeneration()
    generator.load()
    return generator


chef_top = {
    "max_length": 512,
    "min_length": 64,
    "no_repeat_ngram_size": 3,
    "do_sample": True,
    "top_k": 60,
    "top_p": 0.95,
    "num_return_sequences": 1
}
chef_beam = {
    "max_length": 512,
    "min_length": 64,
    "no_repeat_ngram_size": 3,
    "early_stopping": True,
    "num_beams": 5,
    "length_penalty": 1.5,
    "num_return_sequences": 1
}


def main():
    st.set_page_config(
        page_title="Chef Transformer",
        page_icon="🍲",
        layout="wide",
        initial_sidebar_state="expanded"
    )
    generator = load_text_generator()
    local_css("asset/css/style.css")

    st.sidebar.image(load_image("asset/images/chef-transformer-transparent.png"), width=310)
    st.sidebar.title("Choose your own chef")
    chef = st.sidebar.selectbox("Chef", index=0, options=["Chef Scheherazade", "Chef Giovanni"])

    st.markdown(meta.HEADER_INFO)
    prompts = list(EXAMPLES.keys()) + ["Custom"]
    prompt = st.selectbox('Examples', prompts, index=len(prompts) - 1)

    if prompt == "Custom":
        prompt_box = ""
    else:
        prompt_box = EXAMPLES[prompt]

    items = st.text_input(
        'Add custom ingredients here (separated by `,`): ',
        pure_comma_separation(prompt_box, return_list=False),
        key="custom_keywords",
        max_chars=1000)
    items = pure_comma_separation(items, return_list=False)
    entered_items = st.empty()

    if st.button('Get Recipe!'):
        entered_items.markdown("**Generate recipe for:** " + items)
        with st.spinner("Generating recipe..."):

            gen_kw = chef_top if chef == "Chef Scheherazade" else chef_beam
            generated_recipe = generator.generate(items, gen_kw)
            recipe_post = generator.generate_frame(generated_recipe)

            col1, col2, col3 = st.beta_columns([1, 6, 1])
            with col1:
                st.write("")

            with col2:
                st.image(
                    recipe_post,
                    # width=500,
                    caption="Your recipe",
                    use_column_width="auto",
                    output_format="PNG"
                )

            with col3:
                st.write("")


if __name__ == '__main__':
    main()