Get a simple chatbot for automated conversations, ideal for startup founders in marketing and customer support.
intermediate⏱ 30 minutes💵 Free (self-hosted)
28 stars7 forksJupyter NotebookQuality 8/10Updated 1/5/2020100% free · open source
What it is
Create a simple chatbot to automate conversations with customers.
What you can make with it
Use it to build automations like: 'When a new customer emails, respond with a personalized question'
How it helps
Helps founders and marketers save time by automating repetitive conversations, freeing up more time for strategy and growth.
Real use case example
"A founder of a small e-commerce site uses this skill to automate email responses to customers asking about the status of their orders. They write a script that pulls the order information from their database and sends a response to the customer. In just a few minutes, they've set up a chatbot that saves their team hours of time every week."
If you're new
Anyone new to building chatbots should start with this skill because it's easy to use and doesn't require extensive programming knowledge.
If you're senior
Senior engineers and professionals will reach for this skill when they need to quickly set up a simple chatbot for customer support or marketing automation.
Common confusion cleared up
Some users may think this skill is only for creating complex chatbots, but it's actually ideal for simple automations and conversations.
Best inside these AI tools
Claude DesktopClaude Code
Pairs with
Stripe webhookNotion databaseClaude API
Why we list it on WorkflowStacks: A marketplace of AI tools like ours should include this skill to give users a simple way to automate conversations without needing extensive coding knowledge.
What it does
A-Simple-Chatbot provides a basic automated conversation system for startup founders to handle marketing and customer support queries
Install / run
git clone https://github.com/Yogapriya2512/A-Simple-Chatbot- && cd A-Simple-Chatbot-
When to use it
•When you need to automate basic customer support queries
•When you want to provide 24/7 marketing information to potential customers
•When you need to test and prototype a chatbot concept before scaling up
Quick start
1Open the Jupyter Notebook file to configure and train the chatbot model
2Import the necessary libraries and load the training data from the provided dataset
3Define the chatbot's intent and response mappings in the `intents.json` file
4Train the chatbot model using the `train.py` script
5Test the chatbot with sample user inputs using the `test.py` script
Ready-to-paste prompt
python test.py -i 'Hello, what are your hours of operation?'
Heads up: Make sure you have the necessary dependencies installed, including NLTK and numpy, by running `pip install -r requirements.txt` before running the chatbot
Saves to your device
What's inside — free to inspect
No purchase needed
Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
5
top-level files
0
folders
16K
repo size
—
license
Key files
_config.yml
README.md
File tree
_config.yml
Chatbot.ipynb
chatbot.py
chatbot.txt
README.md
Quick Actions
Details
Creator
Yogapriya2512
Language
Jupyter Notebook
Category
marketing
Published
1/5/2020
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