MapBot

Hey! I'm your friendly navigator bot! Try me out, not to brag but I'm FUN!

What I do?

I aim to give users a new way to interact with Google Maps through engaging text-based conversational interfaces.

How old am I?

I'm only a baby bot right now, I need you to feed me with logic, data and inspiration.

What is the motivation behind building me?

The primary motivation of the developers of MapBot is to provide a playground to tech enthusiasts, both beginners and advanced to try algorithms, approaches and ideas while contributing to a real-life project.

What I aspire to be one day?

• I want to help users in the most comprehensive way.
• I want to give 'geeks' a platform to try out all things 'cool'.

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Are you here for GSSoC 2020?

Check out all related information here

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What are some pre-requisites?

• MySQL
  • Install the community version of mySQL from the official mySQL documentation page.
  • Create root user credentials during installation.
  • Verify the installation, running the command mysql -uroot -p -hlocalhost should open the mySQL monitor. (Enter the root password when prompted)
• StanfordCoreNLP
  • StanfordCoreNLP has a dependency on Java 8. java -version should complete successfully with version 1.8 or higher.
  • Windows- Download as a .zip file from here.
  • Linux and MacOS- Follow the instructions to download the file from here.

How to set me up?

• Clone the repository
• Create the mapbot database in mySQL
  • mysql -uroot -p -hlocalhost
  • Enter root password when prompted
  • create database mapbot;
  • Verify creation of the database show databases;
• Unzip the StanfordCoreNLP package in the repository and keep the file paths stanford-corenlp-x.x.x.jar and stanford-corenlp-x.x.x-models.jar handy.
• Run git update-index --assume-unchanged ENV/.env
• Fill the existing template in ENV/.env with the corresponding values following the KEY=VALUE format
• Install dependencies from requirements.txt file. Run pip install -r requirements.txt
• You're all set up, run the init.py file. python init.py
• It is recommended that you set this project up in a virtual environment to keep the dependencies separated and for easier debugging. Here's how you can do that -
  1. Python
  2. Conda

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What are some pre-requisites? (with Docker)

• Docker
  • Take a look at this for detailed installation instructions for Docker on Windows, Linux and Mac systems.
  • Verify the installations by docker --version and docker-compose --version

How to set me up Docker style?

• Download the start.sh and modify it appropriately:
  • git clone <GITHUB_LINK_OF_REPO_TO_CLONE> -b <BRANCH_NAME_TO_CHECKOUT>
  • export GCLOUD_API_KEY=<YOUR_API_KEY_HERE>
• You're all set up, kick off with start.sh file by running bash start.sh.

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What are some pre-requisites? (with Telegram Bot)

• MySQL
  • Install the community version of mySQL from the official mySQL documentation page.
  • Create root user credentials during installation.
  • Verify the installation, running the command mysql -uroot -p -hlocalhost should open the mySQL monitor. (Enter the root password when prompted)
• StanfordCoreNLP
  • StanfordCoreNLP has a dependency on Java 8. java -version should complete successfully with version 1.8 or higher.
  • Windows- Download as a .zip file from here.
  • Linux and MacOS- Follow the instructions to download the file from here.
• Telegram
  • Download the Telegram for your chosen platform.

How to set me up on Telegram?

• Clone the repository
• Create the mapbot database in mySQL
  • mysql -uroot -p -hlocalhost
  • Enter root password when prompted
  • create database mapbot;
  • Verify creation of the database show databases;
• Unzip the StanfordCoreNLP package in the repository and keep the file paths stanford-corenlp-x.x.x.jar and stanford-corenlp-x.x.x-models.jar handy.
• Run git update-index --assume-unchanged ENV/.env
• Fill the existing template in ENV/.env with the corresponding values following the KEY=VALUE format
• For TELEGRAM_BOT_TOKEN=<YOUR_API_KEY_HERE>, open your Telegram app and follow this tutorial on how to create a new bot on Telegram and get your own bot token. Once your token is generated, update the .env file in /ENV with it.
• Find your bot on Telegram using @bot_username that you chose, and send the first text to your new bot. Nothing is supposed to happen for now. No worries.
• Install dependencies from requirements.txt file. Run pip install -r requirements.txt
• You're all set up, run the telegram.py file. python telegram.py and converse with your bot in real time.
• It is recommended that you set this project up in a virtual environment to keep the dependencies separated and for easier debugging. Here's how you can do that -
  1. Python
  2. Conda

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How do I work?

The /analysis folder contains data files for the project. The sentences.csv contains the base training dataset which is used to classify the user's input into three classes - Statement, Question, and Chat. Going through some examples would clarify the difference between statement and chat. The featuresDump.csv is the result of text pre-processing done using the code in features.py and featuresDump.py.

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Want to see me in action?

Here's a Medium article with the some superficial explanations, there are some video links too!