Project: info_chatbot

Team name: Finders

Team members

Member-1: Dushant Panchbhai Email: dushantrpanchbhai@gmail.com
Member-2: Mithilesh Patil Email: mithileshpatil2000@gmail.com

Mentors

Mentor-1 : Parth
Mentor-2 : Priyesh Vakharia

Description

In this project, we had made a website consisting of chatbot functioning.

This chatbot model is based on the web scrapping. Whatever the question we give to the chatbot, the chatbot does a google search based on the topic.

        from googlesearch import search
        search_result_list = list(search(question, tld="co.in",start=0,num=10, stop=10, pause=2))

after doing google search the bot will pickup the first hyperlink.extract the whole text and do the natural language processing it and display the appropriate result based on it. ``` #getting page of particular hyperlink. here index means hyperlink number page = requests.get(search_result_list[index]) tree = html.fromstring(page.content) #prints the whole .html script soup = BeautifulSoup(page.content, features=”lxml”)

    article_text = ''
    article = soup.findAll('p')
    
    for element in article:
        article_text += '\n' + ''.join(element.findAll(text = True))
    first_sentence = article_text.split('\n')
    #first_sentence consist of list of text of the webpage seprated by newline. ```

we had also embedded some greeting syntax file which will deal with some greeting and natural conversation questions like who are you? , tell me a joke, etc.

        def filter(question):
            # path1 is the address of greeting.yml file which consist of all the greeting syntax.
            a_yaml_file = open(path1)
            par = yaml.load(a_yaml_file, Loader=yaml.FullLoader)

so, the model will first check if the entered question is greeting type or not. if the question is not greeting type then it will show result according to web scrapping

GitHub repo link: Link to repository
Drive link: Drive link here

Technology stack

Python
Django
Natural language processing libraries include Spacy, Nltk.
HTML,CSS, and javascript.

Project Setup

clone the project from the GitHub link

open the terminal and create a virtual environment

   pip install virtualenv
   virtualenv [virtual environment name]
   *to enter virtual environment syntax is:
   source (environment name)/bin/activate
   NOTE: you should be in the folder containing the environment while doing this.

install the requirement.txt file present in the folder in that environment
```
   syntax: pip install -r requirements.txt
```
In terminal enter following command to install ‘en_core_web_sm’.
```
     python -m spacy download en_core_web_sm
```
Usage
In terminal activate the virtual environment
enter the folder containing project in terminal using the cd command
after that type this command and press enter:
```
     python manage.py runserver
```

Applications

This project can help in finding the main solution to many questions. so instead of surfing over the internet, enter your question here and get the answer.

Future scope

This project can build further by implementing a voice search in it. Also, the model can be modified so as to get a more effective and accurate answer

Screenshots

for recording of chatbot clickhere