neuspell-demo / InferenceServer.py
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import os
# print("Installing dependencies...")
# os.system("git clone https://github.com/PrithivirajDamodaran/neuspell.git")
# os.chdir('neuspell')
# os.system('pip install -e .[elmo]')
# os.system('pip install -e .[spacy]')
print("Loading Spacy Model...")
os.system("python -m spacy download en_core_web_sm")
import neuspell
from neuspell import BertsclstmChecker, ElmosclstmChecker, CnnlstmChecker
bl_checker = BertsclstmChecker()
el_checker = ElmosclstmChecker()
cl_checker = CnnlstmChecker()
print("Loading Neuspell Models...")
bl_checker.from_pretrained()
el_checker.from_pretrained()
cl_checker.from_pretrained()
print("Dummy run", bl_checker.correct("I luk foward to receving your reply"))
print("Dummy run", el_checker.correct("I luk foward to receving your reply"))
print("Dummy run", cl_checker.correct("I luk foward to receving your reply"))
import uvicorn
from fastapi import File
from fastapi import FastAPI
import sys
app = FastAPI()
print("Models loaded !")
@app.get("/")
def read_root():
return {"Neuspell !"}
@app.get("/{correct}")
def get_correction(input_sentence, model):
'''Returns spell corrected sentence using the model passed in model param.'''
if model == "BERT-LSTM":
return {"corrected_sentence": bl_checker.correct(input_sentence)}
elif model == "ELMo-LSTM":
return {"corrected_sentence": el_checker.correct(input_sentence)}
else:
return {"corrected_sentence": cl_checker.correct(input_sentence)}