A basic GitHub repository template for initializing open source projects on a single click.
Heroku app - https://multipurpose-chatbot2.herokuapp.com/
- Description
- Project structure
- Project roadmap
- Getting started
- Built with
- Contributing
- Authors
- License
- Acknowledgments
-Businesses these days face the problem of customer atention. With the advent of internet, business are facing question everytime which is not possible for a human anymore.
-We are developing a chatbot that can be trained according to the needs of the business and the text corpus for this chatbot can be given by the business themselves. The project is at the very beginning and we need your help for it.
-A chatbot which gets trained on the data given by the user. The data is stored in the intents.json file.
The project currently does the following things.
- Feature 1: The main chatbot
- Feature 2: Taking the text corpus from the user and storing it in the intents.json file
- Feature 3: Training the model on the new intents.json file so that the chatbot gets customised.
For getting started, one needs skills depending on the issues, if you are web guy, you can improve the ui of the index.html page, if you are into machine learning, you can check out for issues related to the model and training. The point is there is something for everyone in the repository.
Step 2: Create a anaconda environment with the commmand - "conda create -n 'name of the environment'"
Step 4: Install the packages listed in the requirements.txt file. For example, "pip install tensorflow==1.13.2"
Step 5 After you are done installing all the packages, run the app.py file or hit flask run and we are all set to go !!
Please read contributing.md for details on our code of conduct, and the process for submitting pull requests to us.
This project is licensed under the MIT License - see the LICENSE file for details.