Spaces:
Build error
Build error
Add rhyme.py
Browse files- app.py +3 -82
- rhyme_with_ai/rhyme.py +69 -0
app.py
CHANGED
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@@ -1,18 +1,13 @@
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import copy
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import functools
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import itertools
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import logging
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import
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import string
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from typing import List, Optional
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import requests
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import numpy as np
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import tensorflow as tf
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import streamlit as st
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from gazpacho import Soup, get
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from transformers import BertTokenizer, TFAutoModelForMaskedLM
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from rhyme_with_ai.utils import color_new_words, pairwise,
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DEFAULT_QUERY = "Machines will take over the world soon"
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@@ -102,21 +97,6 @@ def display_output(status_text, query, current_sentences, previous_sentences):
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query + ",<br>" + "".join(print_sentences), unsafe_allow_html=True
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)
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class TokenWeighter:
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def __init__(self, tokenizer):
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self.tokenizer_ = tokenizer
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self.proba = self.get_token_proba()
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def get_token_proba(self):
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valid_token_mask = self._filter_short_partial(self.tokenizer_.vocab)
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return valid_token_mask
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def _filter_short_partial(self, vocab):
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valid_token_ids = [v for k, v in vocab.items() if len(k) > 1 and "#" not in k]
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is_valid = np.zeros(len(vocab.keys()))
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is_valid[valid_token_ids] = 1
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return is_valid
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class RhymeGenerator:
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def __init__(
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@@ -291,65 +271,6 @@ class RhymeGenerator:
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def query_rhyme_words(sentence: str, n_rhymes: int, language:str="english") -> List[str]:
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"""Returns a list of rhyme words for a sentence.
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Parameters
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----------
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sentence : Sentence that may end with punctuation
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n_rhymes : Maximum number of rhymes to return
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Returns
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-------
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List[str] -- List of words that rhyme with the final word
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"""
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last_word = find_last_word(sentence)
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if language == "english":
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return query_datamuse_api(last_word, n_rhymes)
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elif language == "dutch":
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return mick_rijmwoordenboek(last_word, n_rhymes)
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else:
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raise NotImplementedError(f"Unsupported language ({language}) expected 'english' or 'dutch'.")
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def query_datamuse_api(word: str, n_rhymes: Optional[int] = None) -> List[str]:
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"""Query the DataMuse API.
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Parameters
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----------
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word : Word to rhyme with
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n_rhymes : Max rhymes to return
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Returns
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-------
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Rhyme words
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"""
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out = requests.get(
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"https://api.datamuse.com/words", params={"rel_rhy": word}
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).json()
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words = [_["word"] for _ in out]
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if n_rhymes is None:
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return words
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return words[:n_rhymes]
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@functools.lru_cache(maxsize=128, typed=False)
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def mick_rijmwoordenboek(word: str, n_words: int):
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url = f"https://rijmwoordenboek.nl/rijm/{word}"
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html = get(url)
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soup = Soup(html)
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results = soup.find("div", {"id": "rhymeResultsWords"}).html.split("<br>")
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# clean up
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results = [r.replace("\n", "").replace(" ", "") for r in results]
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# filter html and empty strings
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results = [r for r in results if ("<" not in r) and (len(r) > 0)]
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return random.sample(results, min(len(results), n_words))
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if __name__ == "__main__":
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logging.basicConfig(level=logging.INFO)
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main()
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import copy
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import logging
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from typing import List
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import numpy as np
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import tensorflow as tf
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import streamlit as st
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from transformers import BertTokenizer, TFAutoModelForMaskedLM
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from rhyme_with_ai.utils import color_new_words, pairwise, sanitize
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from rhyme_with_ai.token_weighter import TokenWeighter
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DEFAULT_QUERY = "Machines will take over the world soon"
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query + ",<br>" + "".join(print_sentences), unsafe_allow_html=True
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)
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class RhymeGenerator:
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def __init__(
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if __name__ == "__main__":
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logging.basicConfig(level=logging.INFO)
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main()
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rhyme_with_ai/rhyme.py
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import functools
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import random
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from typing import List, Optional
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import requests
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from gazpacho import Soup, get
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from rhyme_with_ai.utils import find_last_word
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def query_rhyme_words(sentence: str, n_rhymes: int, language:str="english") -> List[str]:
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"""Returns a list of rhyme words for a sentence.
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Parameters
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----------
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sentence : Sentence that may end with punctuation
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n_rhymes : Maximum number of rhymes to return
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Returns
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-------
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List[str] -- List of words that rhyme with the final word
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"""
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last_word = find_last_word(sentence)
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if language == "english":
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return query_datamuse_api(last_word, n_rhymes)
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elif language == "dutch":
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return mick_rijmwoordenboek(last_word, n_rhymes)
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else:
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raise NotImplementedError(f"Unsupported language ({language}) expected 'english' or 'dutch'.")
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def query_datamuse_api(word: str, n_rhymes: Optional[int] = None) -> List[str]:
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"""Query the DataMuse API.
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Parameters
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----------
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word : Word to rhyme with
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n_rhymes : Max rhymes to return
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Returns
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-------
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Rhyme words
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"""
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out = requests.get(
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"https://api.datamuse.com/words", params={"rel_rhy": word}
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).json()
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words = [_["word"] for _ in out]
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if n_rhymes is None:
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return words
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return words[:n_rhymes]
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@functools.lru_cache(maxsize=128, typed=False)
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def mick_rijmwoordenboek(word: str, n_words: int):
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url = f"https://rijmwoordenboek.nl/rijm/{word}"
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html = get(url)
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soup = Soup(html)
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results = soup.find("div", {"id": "rhymeResultsWords"}).html.split("<br>")
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# clean up
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results = [r.replace("\n", "").replace(" ", "") for r in results]
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# filter html and empty strings
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results = [r for r in results if ("<" not in r) and (len(r) > 0)]
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return random.sample(results, min(len(results), n_words))
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