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Stories liter

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To learn how to write a story with an AI check out our tutorial! Under the Summary section describe your story and what makes it interesting.

In the Story section paste the story your AI wrote and use the formatting options to style it. Under the Methods section describe how you created the story and the process behind it.

The Upload Model and Upload Data sections take a. Otherwise you can ignore these fields. All work uploaded on this site will be licensed under a Creative Commons Attribution 4.

Uploading a file in the below fields will immediately replace the old file with your new one even before you press submit.

Only use these uploaders if you want to replace the files. We recommend that you start with this tutorial before going on to the "Train an AI" tutorial.

You can choose between a Mac or Windows tutorial from the tabs below. The first step for this tutorial is to install Docker on your computer. Docker is a tool that runs a simple virtual computer filled with the code we want already installed and ready to go.

This makes the whole process easier since you will only need to install one program, instead of many. Once you have installed Docker open it from your Applications folder - you should see an icon for it on the menubar at the top of your mac.

When you click on the icon it should say that Docker is running. Next you need to go to preferences and set the number of CPUs and Memory. Setting these values higher will make everything you run through Docker go faster.

For this tutorial we will take a premade artificial intelligence to write our story. In the next tutorial we'll go over how to train a custom one.

This neural network is stored in a. Stories on Literai have models uploaded alongside them. Find a story you like on the site and download the model that generated it from the bottom of the page.

Not all stories on Literai have models some were generated using other AI techniques but any that do will be marked with a model icon:. At this point you will want to come up with a name for your project.

Once you have your name chosen you should rename the model you downloaded to project. Throughout this tutorial we are going to keep using the word project and you will need to replace it in all command line arguments with whatever word you chose to name your project.

Now that we have Docker running and our project set up we are ready to start! To get started we are going to need to open the Mac Application "Terminal".

Terminal is a command line interface for your computer. It can be a little daunting if you've never used it before - but don't worry, you'll just be copying and pasting commands into it.

Our first step is to start up a Docker Container with all of the packages and code we want. We will be using a program called torch-rnn written in the programming language Lua by Justin Johnson based on char-rnn by Andrej Karpathy.

Cristian Baldi has created a Docker Image we can download automatically that has the program and all of its dependencies set up ready to go.

Note: the initial download is MB. It will take a few moments to download everything you need. When it is done the command prompt will come up again indicating that the process finished correctly.

Now the terminal is controlling the inside of your Docker Container. If something went wrong make sure your internet connection is working and that Docker is running.

In the future, when you do this step again it will happen very quickly, as it won't need to download anything. The next step is to copy the model from your computer into the Docker Container.

We need a second window as our first window is now controlling the Docker Container. Paste the following command into the second terminal window and hit return to copy the folder you made of your model across.

If the folder with your model isn't on your Desktop you will need to modify the path in the code to link to the right place. Remember to replace project with your own project name.

Optional: To check that the file was correctly copied, go back to your first terminal window, type cd torch-rnn and hit enter, then type ls and hit enter.

Now type cd.. Now that everything is set up we are finally ready to write some text! For this step we need to go back to the first terminal window where we will copy and paste the command below:.

After a couple of minutes the computer should print out characters of text! Your AI has just written entirely novel literature! You can copy this text out of the terminal into a text editor like Word or Google Docs.

To create more text, simply paste the command again or hit the up arrow in the terminal to auto-populate it. You'll notice in the command is the phrase -length You can modify this number to be bigger or smaller to see more or less text.

In practice you can sometimes get better results by generating lots of shorter snippets rather than a really long one.

There are other parameters you can tweak here to get better results. The tips and tricks tutorial goes over these in more detail. When you are done generating text it is important to enter one last command into the first terminal window:.

This will close down the Docker Container and will delete everything on it. Importantly, this will also free up the name "literai" which we gave to the container in step 3.

If you forget to exit and then come back to write more fiction in the future the code we have will cause an error, since the name "literai" will still be taken.

You can solve this by using a different name eg literai2 in all of the commands, but for simplicity remember to type exit! Now that you've generated text with your AI you can complete a story and upload it to Literai to share with the world.

This is your chance to be creative in selecting and editing the writing your AI produces. Find the funny interesting things it says and discard the others.

On literai we strongly encourage quality over quantity. Computers can write infinite amounts of fiction, but humans only really want to read a finite amount, usually no more than a page of writing.

Keep it short and grab the best stuff you can. We discourage directly editing the words the AI wrote, but fixing minor spelling mistakes, spacing issues, or renaming characters to create continuity is fine.

When your story is complete go to the Upload Story page on Literai and enter the story, a short synopsis about the story, and a description of how you created it under Methods.

Remember to upload the model. You can ignore the upload data section for now. You've now successfully completed the first tutorial! Go to the Train an AI tutorial for the next steps.

I ran into this problem on my own PC when making this tutorial. Otherwise, use the Mac tutorial on a Mac or Linux machine. Once you have installed Docker you should see an icon for it in the bottom right of your taskbar.

Next you need to go to settings and set the number of CPUs and Memory. To get started we are going to need to open the Windows program "Command Prompt".

To open this go to the start menu and search for cmd. Command Prompt is a command line interface for your computer. Now the command prompt is controlling the inside of your Docker Container.

To do this you need to open a new Command Prompt window go to the start menu, search for cmd, and open it like before.

Paste the following command into the second command prompt window and hit return to copy the folder you made of your model across.

If the folder with your model isn't in your Documents folder you will need to modify the path in the code to link to the right place.

For this step we need to go back to the first command prompt where we will copy and paste the command below. You can copy this text out of the comand prompt into a text editor like Word or Google Docs.

To create more text, simply paste the command again or hit the up arrow in the command prompt to auto-populate it.

When you are done generating text it is important to enter one last command into the first command prompt window:. In the first tutorial we went through how to write fiction using a premade artificial intelligence.

In this tutorial we go through how to train your own custom AI. You will need to collect a corpus of literature and then train your neural network to imitate it.

The training process can take hours or days to complete, so make sure you do this in a place where you can leave your computer uninterrupted for a while.

Your AI will write in the same style as the literature you give it to train on. If you give it Shakespeare, then it will write like Shakespeare.

This gives you incredible creative power to craft different AIs with different voices. If you went straight to this tutorial the first step is to install Docker on your computer.

Creating an artificial intelligence that can write in English would seem to be an incredibly difficult challenge - but neural networks have made it incredibly easy.

Neural networks learn how to do things by being given a large number of examples and slowly teaching themselves to imitate these styles.

The neural network you create in this tutorial won't know a single thing about spelling, punctuation, characters, plot, or even words. It will have to learn all of this from scratch from the literature you give it to learn on.

Think of it like a child who learns to write by reading from a library with no tutor. Choosing which books to give your AI is an exciting creative endeavor.

The literature it learns to write on will teach it not just the basics of the language, but will also give it a specific "voice". You could give it only literature from one author, or one genre, or get it to imitate an interesting combination of works.

The possibilities are endless. It doesn't even need to be in English. Within hours a neural network could be writing in a foreign language more fluently than you'll ever be able to.

For your first AI choose a simple topic, perhaps an author or book series you want to imitate. You will need to open up a simple text editor eg.

TextEdit - a program installed on every mac computer. Copy and paste the full text from the writing you want into the text file. Don't worry about leaving spacing between each book, just paste them in one after another.

Obviously you will need to find the text for the literature you want online. Also check out the data files attached to stories on Literai - you can use them to build off of the work others have already done bringing writings together.

You can find stories that have data files attached on Literai by looking for the data icon:. Once you have your name chosen you should save your text file as project.

The larger your dataset the better your AI will be at writing, but the longer it will take to learn. This is just the beginning …. Spencer Henry has quickly become a leader in the True Crime Podcast genre.

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This gives you incredible creative power to craft different AIs with different voices. If you went straight to this tutorial the first step is to install Docker on your computer.

Creating an artificial intelligence that can write in English would seem to be an incredibly difficult challenge - but neural networks have made it incredibly easy.

Neural networks learn how to do things by being given a large number of examples and slowly teaching themselves to imitate these styles.

The neural network you create in this tutorial won't know a single thing about spelling, punctuation, characters, plot, or even words.

It will have to learn all of this from scratch from the literature you give it to learn on. Think of it like a child who learns to write by reading from a library with no tutor.

Choosing which books to give your AI is an exciting creative endeavor. The literature it learns to write on will teach it not just the basics of the language, but will also give it a specific "voice".

You could give it only literature from one author, or one genre, or get it to imitate an interesting combination of works. The possibilities are endless.

It doesn't even need to be in English. Within hours a neural network could be writing in a foreign language more fluently than you'll ever be able to.

For your first AI choose a simple topic, perhaps an author or book series you want to imitate. You will need to open up a simple text editor eg.

TextEdit - a program installed on every mac computer. Copy and paste the full text from the writing you want into the text file.

Don't worry about leaving spacing between each book, just paste them in one after another. Obviously you will need to find the text for the literature you want online.

Also check out the data files attached to stories on Literai - you can use them to build off of the work others have already done bringing writings together.

You can find stories that have data files attached on Literai by looking for the data icon:. Once you have your name chosen you should save your text file as project.

The larger your dataset the better your AI will be at writing, but the longer it will take to learn. As a general rule of thumb about 1MB , words is the minimum size you would want to train on.

Anything in the MB range is pretty ideal and will take a reasonable amount of time to run. Large datasets of 10s or s of MBs can create incredibly good writers, but they might take weeks or even months to train on a personal computer.

If you've already completed the first tutorial, this step is the same as last time - you can skip to copying the command below into the Terminal.

If you haven't completed the first tutorial then read on. The next step is to copy the data file from your computer into the Docker Container.

Paste the following command into the second terminal window and hit return to copy the folder you made across. If your folder with your data file project.

Before we can train our neural network we need to run a couple of processes to get the data ready for it. There are some advanced parameters you might want to tweak at this step see the tips and tricks section , but for the most part you'll probably want to use the default command below.

Go to the first Terminal window the one controlling your Docker Container , and enter the following command before pressing enter:. This is the exciting and long part, where we train your neural network to write.

Before we do that though we should make sure your computer won't shutdown or go to sleep while the process is running. If you are running this on a laptop make sure it is plugged in and that you are in a place where the laptop can stay open for a long time.

Secondly, go to "System Preferences" and enter the "Energy Saver" mode. For both the "Battery" and "Power Adapter" tabs, move the slider for "turn display off after" to "never".

This will prevent your computer from going to sleep. Make sure to put it back to normal after you are done with this tutorial.

Now that you are ready to train your neural network, go to the first Terminal Window the one controlling the Docker Container , paste the following command and hit enter:.

You'll notice a few different parameters in the command above. See the tips and tricks section for more information on how to tweak these to get better results.

Doing so will give you much better results but can drastically increase the time it takes to learn. Now that the command is running you will see lines output to the terminal one after another.

The smaller this number is the better. You'll notice it very slowly going down over time. Every iterations a copy of your model will be saved a checkpoint and a special evaluation will be done to see how good it is.

Any checkpoint can be used to write, so you can actually see how your AI is getting better over time.

This process will take a very long time hours to days depending on your data and parameters , so you can just leave it running. You can then just take the last checkpoint created for the next step.

With the training now completed, you now have a neural network model capable of writing for you! The first thing you'll want to do is copy this model from the Docker Container on to your computer.

Go to the second terminal window that we used in step 4 , paste the following command and hit enter:. When this is done running you will see a new folder on your desktop called "output".

Rename it to your project name. Take the. This file is your completely trained model. It can now be shared and used as the input step 2 of the first tutorial.

But since we've already got a Docker Container running we don't need to start that all over again, instead we can jump straight to writing text.

For this step we need to go back to the first terminal window where we will copy and paste the command below.

You will need to replace the XX in the checkpoint name with the number from the actual checkpoint file you are using note that you only renamed it on your computer, not within the docker container.

You should also upload your data. You've now successfully completed the second tutorial! Next you can read the How it Works or Tips and Tricks sections.

Experiment with different literature and come up with some exciting new stories! If you've already completed the first tutorial, this step is the same as last time - you can skip to copying the command below into the Command Prompt.

If the folder with your data file project. Go to the first Command Prompt the one controlling your Docker Container , and enter the following command before pressing enter.

Secondly, go to the Power Options section of your computer's Control Panel you can search for this in the start menu. Choose the display and sleep settings to never put your computer to sleep.

Now that you are ready to train your neural network, go to the first command prompt the one controlling the Docker Container , paste the following command and hit enter:.

Now that the command is running you will see lines output to the command prompt one after another.

Go to the second command prompt that we used in step 4 , paste the following command and hit enter:. When this is done running you will see a new folder in your Documents folder called "output".

But since we've already got a docker container running we don't need to start that all over again, instead we can jump straight to writing text.

You can copy this text out of the command prompt into a text editor like Word or Google Docs. When you are done generating text it is important to enter one last command into the first command prompt:.

Recent breakthroughs in artificial intelligence are rapidly changing the world. From self driving cars to image recognition AI is now all around us.

Even creative fields are starting to see artificial works too. Literai is dedicated to the promotion of the new art form of artificial fiction.

Artificial fiction is now possible, mostly through the use of modern neural networks that can learn how to write in English or any other language for that matter.

Generally the writing from these neural networks isn't very good, but it can be remarkably insightful into the patterns and styles of the genre it is taught to imitate.

It is possible for anyone with a laptop to easily train neural networks and create their own artificial fiction. We created this site to host tutorials that show everyone how easy it can be.

Beyond that, Literai is a home for fiction written by computers and our goal is to encourage the careful creation of entertaining stories in this new artform.

Contact us at: myles. Fiction Written by Computers. This story has gone missing! Check out other stories written by computers here. Created by Literai Written by a Computer.

Literai - Literature Written by Computers. Show More. Upload Story. You need to log in to upload a story.

You don't have permission to edit this story. Edit Story. Upload Model. Upload Data. You don't have permission to delete this story. Story Deleted.

Return to the home page. With recent advances in artificial intelligence it has become possible for anyone to easily create their very own story writing robot.

There is something magical about watching a computer write out a story — it doesn't feel quite real. Computers can write an infinite amount of text, but humans readers have a limited attention span.

Human creativity is needed to train an AI and find the hidden gems within it's writing. You'll need to work collaboratively with your computer to create something truly special.

These tutorials were written to guide you through the simple steps needed to create your own artificial fiction to share on Literai.

This is a short summary of all of the commands and steps in this tutorial. This is mostly useful if you are going through it a second time and don't want to sift through the full details.

Terminal is a tool for running programs on your computer that don't have graphical interfaces. It can also be used to browse through files on your computer.

You don't need to read this section to complete the tutorial, but it might help if you run into any trouble. Here are a few tips to help you when working in terminal: When the terminal loads up you will see what is called a command prompt.

You type commands after the command prompt and hit return to execute them starting a process. Note that the mouse doesn't work in the terminal at all.

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I wanted to tell you how excited I am to announce the launch of my new website. This is just the beginning …. Spencer Henry has quickly become a leader in the True Crime Podcast genre.

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