Justin Gage gagejustins

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	9/24/17 0:00,,,,,,,,,,

	const request = require('request');

	/**
	* Sends input from a Slack SlashCommand to Algorithmia's nlp/SummarizeURL, and returns result
	*
	* @param {!Object} req Cloud Function request context.
	* @param {!Object} res Cloud Function response context.
	*/
	exports.summarizeURL = function summarizeURL(req, res) {
	// verify that this request came from a valid Slack App

	#Import the optim module from the pytorch package
	import torch.optim as optim

	#Initialize an optimizer object
	learning_rate = 0.001
	optimizer = optim.Adam(net.parameters(), lr=learning_rate)

	#Set the parameter gradients to 0 and take a step (as part of a training loop)
	for epoch in num_epochs:
	train(...)

	for epoch in range(numEpochs):

	train(...) #Training code
	accuracy = eval(...) #Evaluate accuracy

	#If we've reached a new best accuracy
	if accuracy > best_accuracy:
	#Save model checkpoint
	torch.save({'epoch': epoch,
	'state_dict': model.state_dict(),