ChatBot-Project

A bot that uses a neuronal network using tensorflow and Tflearn to automatically act as a support for customers on python 3.6.

Installation

Open terminal and type the following commands:

git clone https://github.com/SkanderMarnissi/ChatBot-Project/

Then type

cd ChatBot-Project
cd BackChatBot
pip install -r requirements.txt

How does it work?

The program takes a json file "intents.json" as input which contains four parameters:

tags:It's like the sent message summary id that will be predicted from the model it self.

patterns:The set of possible patterns with which we can predict the tags(after processing)

responses:The set of dif fined responses when the tag of the sent message is identified.

context_set:Optional parameter to set the context of the message(to have more accurate results)

Note: you can change the patterns, tags and answers to train your model on your particular subject.

To train the model:

In order to create/train the model execute the "Model_training()" from ChatBotScript.py file in the terminal:

Enter in your terminal:

python ChatBotScript.py

Don't forget to run this line at the first run:

# [Only for first time use] First time your run the program use this; it will download the english patch for Nltk 
nltk.download('punkt')

To use server:

In order to test your server, you should run the ChatBotServer.py file in the terminal like this:

Python ChatBotServer.py

To test

Step 1:

Run the server tap this in your terminal:

	Python ChatBotServer.py

Step 2:

Once the server runs open the index.html file under FrontChatBot directory: it will load a blank page into your browser with an integrated chatbox(Imported from the ChatBot.html).

Step 3:

Now type a message in the input and send it(it will send the data via Ajax in a json format to the Flask server, which will process the message into a Neuronal Network model.).

Step 4:

Response from the server: after processing the sent message, the server will send a response which will be handled by Ajax.

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