Tinu_chatbot_seq2seq_tensorflow

This is a implementation of Twitter/Cornell-Movie Chatbot Tinu . A sequence2sequence chatbot implementation with TensorFlow 1.10 . I just use 10% data of full dataset. you can use full dataset.Then you need to read full article.

Prerequisites

• tensorflow - 1.10
• numpy
• pyttsx3
• pypiwin32

How to use:

1. Install Prerequisites

   pip install -r requirements.txt

2. Create dataset

   python final_data.py

3. Train Model

   python train.py

4. Test Model

   python test_model.py

Extra Features

You can add more frequently asked questions and answers on a text file under the store folder.

Using a big Dataset you need to create your dataset using this steps and then follow the earlier instruction for training and testing

1. Download Twitter/Cornell-Movie Dataset link

2. Create a folder named raw_data and paste unzipped data there.

3. Run

   python data.py

4. Run

   python prep_data.py

5. Run

   python final_data.py

Extra instructions

Cost or loss will be saved in a loss file named log.txt

Test Result of Tinu

you :: what is your name

Tinu :: my name is tinu

You :: who are you

Tinu :: a sequence2sequence chatbot

You :: how are you

Tinu :: do you know who that is .

To make the chatbot usefull use a big dataset and train the model for a long time