Cartmanishere

# For Python

python -m grpc_tools.protoc -I. --python_out=./python --grpc_python_out=./python nltk_service.proto

# For Golang

protoc -I. nltk_service.proto --go_out=plugins=grpc:golang

Cartmanishere

def serve(port):
    server = grpc.server(futures.ThreadPoolExecutor(max_workers=10))
    add_KeywordServiceServicer_to_server(
        NltkService(), server)
    server.add_insecure_port('[::]:' + str(port))
    server.start()
    print("Listening on port {}..".format(port))
    try:
        while True:
            time.sleep(10000)

Cartmanishere

from nltk_service_pb2 import *
from nltk_service_pb2_grpc import *

import grpc
import nltk
from concurrent import futures
from nltk.corpus import stopwords

class NltkService(KeywordServiceServicer):

Cartmanishere

syntax = "proto3";

message Request {
    string text = 1;
}

message Response {
    repeated string keywords = 1;
}

Cartmanishere

"""
This is an implmentation of a Continuous Perceptron trained using Delta Learning Rule or Backpropagation.
It is based on the description of the same as given in the book - 
'Introduction to Artificial Neural Networks' by Jackek M. Zurada

Date:   July ‎16, ‎2018
Author: Pranav Gajjewar
Course: Artifical Neural Networks

The following work was done while studying as an undergraduate at SGGSIE&T, Nanded.

Cartmanishere

package main

import (
	"bufio"
	"fmt"
	"os"
	"strconv"
	"strings"
)