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Open Domain Question Answering Chatbot With Wikipedia and Google as Knowledge Base

Python 100.00%
bm25 chatbot google huggingface knowledge-base open-domain-question-answering transformers wikipedia question-answering

opendomainqachatbot's Introduction

Open Domain Question Answering Chatbot

This repo contains code to create a open domain question answering (QA) Chatbot using Streamlit and Flask with Google and Wikipedia as knowledge base

Technology Stack

  • Frontend: Streamlit
  • Backend: Flask (Python)

How to run

Important: Since I did this project long back, I have tested it on conda virtual environment with Python version 3.6.13.

  • Step-1: Clone the repo and cd into it.

  • Step-2: Create a conda virtual environment and activate it

conda create -n gwqa python=3.6
  • Step-3: Install the frontend dependencies by running the following command
pip install -r requirements.txt
  • Step-4: Install the backend dependencies by cd into backend folder
pip install spacy==2.3.0
python -m spacy download en_core_web_sm
pip install -r requirements.txt
  • Step-5: Start the backend service (Flask)
python main.py
  • Step-6: Goto the root folder and run the following command to start streamlit
streamlit run app.py

opendomainqachatbot's People

Contributors

shrishailsgajbhar avatar

Watchers

Kostas Georgiou avatar  avatar

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