A demo deep learning chatbot using Tensorflow with a C# WPF GUI.

Note: Pretrained models are not provided. Please train your own network.

To use the python backend, run socket.py and connect to the socket on localhost:8089. Then, send the user input with input: at the beginning. For example, input: Hello World!. The socket should return just the result (no parsing needed).

First, start the python socket server with the directions above. Then, start the GUI and connect to the socket with the ip localhost and port 8089. Once the socket connects, use the first tab to talk with the chatbot.

• Tensorflow
• Numpy
• socket (should be installed with python)
• re (should be installed with python)

To install Tensorflow, run

pip install tensorflow

For the gpu version of Tensorflow, run

pip install tenorflow-gpu

To install Numpy, run

pip install numpy

It is recommended to use the pre-trained network provided in the backend folder. Training a new network from scratch will require a lot of memory and computing power. Around 5GB VRAM and 2-3GB RAM (The network is optimized for Tensorflow-GPU and runs on both GPU and CPU. To change this, modify network.py)

To train the network, run Train.py and input the number of epochs to train for. Input save to save the network for the socket server and exit to exit (without saving). For example, the following inputs will save the network after 50 epochs and another 100 epochs

Train epochs: 50
Train epochs: save
Train epochs: 100
Train epochs: save
Train epochs: exit

Apache License 2.0