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import streamlit as st |
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import streamlit.components.v1 as components |
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from transformers import AutoTokenizer, AutoModelForSequenceClassification, AutoModelForSeq2SeqLM |
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from catboost import CatBoostRegressor |
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import pandas as pd |
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device = 'cpu' |
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model = CatBoostRegressor() |
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model.load_model("./model.cbm") |
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@st.cache(allow_output_mutation=True) |
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def language_model(): |
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language_tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ru-en") |
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language_model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ru-en") |
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return language_model, language_tokenizer |
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def prepare_data(text): |
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text = text.lower() |
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text = re.sub(r"[,.;#?!&$]+\ *", " ", text) |
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return text |
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def preapare_language(text, language_tokenizer, language_model): |
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tokenized_text = language_tokenizer.prepare_seq2seq_batch([text], return_tensors='pt') |
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translation = language_model.generate(**tokenized_text) |
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text = language_tokenizer.batch_decode(translation, skip_special_tokens=False)[0][5:-4] |
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return text |
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def inference_sweets(): |
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HtmlFile = open("index.html", 'r', encoding='utf-8') |
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source_code = HtmlFile.read() |
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print(source_code) |
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components.html(source_code) |
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inference_sweets() |
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st.write('Select a language/ default is English') |
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rus_buton = st.button('Russian') |
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if rus_buton: |
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ingredients = st.text_area("Write the ingredients of the dish") |
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recipe = st.text_area("Write the recipe") |
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language_model, language_tokenizer = language_model() |
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ingredients = preapare_language(ingredients, language_tokenizer, language_model) |
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recipe = preapare_language(recipe, language_tokenizer, language_model) |
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servings = int(st.text_area("Write number of servings")) |
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data = pd.DataFrame({'TranslatedInstructions':[recipe],'TranslatedIngredients':[ingredients],'Servings': [servings]}) |
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result_button = st.button('Click') |
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if result_button: |
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time = model.predict(data)[0] |
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st.write('The dish will be prepared') |
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st.write(int(time)) |
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else: |
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ingredients = st.text_area("Write the ingredients of the dish") |
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recipe = st.text_area("Write the recipe") |
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servings = st.text_area("Write number of servings") |
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if len(servings): |
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data = pd.DataFrame({'TranslatedInstructions':[recipe],'TranslatedIngredients':[ingredients],'Servings': [int(servings)]}) |
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result_button = st.button('Click') |
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if result_button: |
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time = model.predict(data)[0] |
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st.write('The dish will be prepared') |
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st.write(int(time)) |
