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Merge pull request #20 from meedan/cv2-3408-add-fasttext
Cv2 3408 add fasttext language identification
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from typing import Union, Dict, List | ||
from lib.model.model import Model | ||
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import fasttext | ||
from huggingface_hub import hf_hub_download | ||
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class FasttextModel(Model): | ||
def __init__(self): | ||
""" | ||
Load fasttext model (https://huggingface.co/facebook/fasttext-language-identification) | ||
""" | ||
model_path = hf_hub_download(repo_id="facebook/fasttext-language-identification", filename="model.bin") | ||
self.model = fasttext.load_model(model_path) | ||
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def respond(self, docs: Union[List[Dict[str, str]], Dict[str, str]]) -> List[Dict[str, str]]: | ||
""" | ||
Force messages as list of messages in case we get a singular item. Then, run fingerprint routine. | ||
Respond can probably be genericized across all models. | ||
""" | ||
if not isinstance(docs, list): | ||
docs = [docs] | ||
detectable_texts = [e.get("body", {}).get("text") for e in docs] | ||
detected_langs = [] | ||
for text in detectable_texts: | ||
detected_langs.append(self.model.predict(text)[0][0]) | ||
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for doc, detected_lang in zip(docs, detected_langs): | ||
doc["response"] = detected_lang | ||
return docs |
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boto3==1.18.64 | ||
pyacoustid==1.2.2 | ||
redis==4.4.4 | ||
sentence-transformers==2.2.0 | ||
sentence-transformers==2.2.2 | ||
tmkpy==0.1.1 | ||
torch==1.9.0 | ||
transformers==4.6.0 | ||
transformers>=4.6.0 | ||
fastapi==0.68.1 | ||
uvicorn[standard]==0.19.0 | ||
httpx==0.23.1 | ||
huggingface-hub==0.11.0 | ||
fasttext==0.9.2 |
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import os | ||
import unittest | ||
from unittest.mock import MagicMock | ||
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import numpy as np | ||
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from lib.model.fasttext import FasttextModel | ||
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class TestFasttextModel(unittest.TestCase): | ||
def setUp(self): | ||
self.model = FasttextModel() | ||
self.mock_model = MagicMock() | ||
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def test_respond(self): | ||
query = [{"body": {"text": "Hello, how are you?"}}, {"body": {"text": "今天是星期二"}}] | ||
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response = self.model.respond(query) | ||
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self.assertEqual(len(response), 2) | ||
self.assertEqual(response[0]["response"], "__label__eng_Latn") | ||
self.assertEqual(response[1]["response"], "__label__zho_Hans") | ||
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if __name__ == '__main__': | ||
unittest.main() |