lingxiao-li/smart-scheduling-assisstent

Natural language chatbot helping you to manage your schedules

Stock_Chatbot

Demo

Configuration Instructions

Installation Instructions

There are few online packages need to be installed for this project

Rasa-NLU

Prerequisites

Make sure the Microsoft VC++ Compiler is installed, so python can compile any dependencies. You can get the compiler from: https://visualstudio.microsoft.com/visual-cpp-build-tools/ Download the installer and select VC++ Build tools in the list.

Setting up Rasa NLU

Stable (Recommended)
The recommended way to install Rasa NLU is using pip which will install the latest stable version of Rasa NLU:

pip install rasa_nlu

Latest (Most recent github)
If you want to use the bleeding edge version you can get it from github:

git clone https://github.com/RasaHQ/rasa_nlu.git
cd rasa_nlu
pip install -r requirements.txt
pip install -e .

Rasa NLU has different components for recognizing intents and entities, most of these will have some additional dependencies.
When you train your model, Rasa NLU will check if all required dependencies are installed and tell you if any are missing.

For more installation information
Go to https://rasa.com/docs/nlu/installation/

wxpy

Setting up wxpy
wxpy support Python 3.4-3.6, and 2.7 version
To ensure the package can be installed in different Python version
Replace pip in the commond below to pip3 or pip2

From PyPI with pip:

pip install -U wxpy

From douban IO PyPI source (Recommend for users in China mainland):

pip install -U wxpy -i "https://pypi.doubanio.com/simple/"

For more installation information
Go to https://wxpy.readthedocs.io/zh/latest/#

operating instructions

1. Download all files in a same folder.
2. Open chatbot.py file in any IDE, the IDE I used to run is Spyder.
3. Change the statement below to chat with different friend

   # search the friend with nanme "Jethro", sex is male and city is Qingdao
   my_friend = bot.friends().search('Jethro', sex=MALE, city='青岛')[0]
   

4. Run it, an QR code will created automatically, use your Wechat to scan the QR code and log in.
5. Start to chat!

More details please read the project report

a file manifest

copyright and licensing information

contact information for the distributor or programmer

Email: [email protected]
Website: https://github.com/JethroLee98/

known bugs

troubleshooting

credits and acknowledgements

a changelog

• 2019.11.29 uploade file