/StudyBot

Revise your subjects with studybot

Primary LanguageJupyter Notebook

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StudybotAPI
😻
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docker
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StudyBot x Streamlit

✨ Streamlit is an open-source app framework for Machine Learning and Data Science teams. Create beautiful data apps in hours, not weeks. All in pure Python. ✨

Motive

When studying a theoretical subject, which has a lot of concepts, dates, important events etc. No matter how hard we try to memorise them, it's hard to remember them all. So, I thought of making a bot that can help us in quick revision of the subject. For example, if we are studying history, and we forget the event of the 1857 revolt, we can ask the bot like "What happened in 1857?" and it will tell us the brief answer. This will help us in quick revision of the subject.

Backend (FastAPI)

Installation

pip install -r requirements.txt

Folder Structure

  • StudybotAPI/backend contains the backend code for the API.
  • StudybotAPI/backend/app.py contains the FastAPI code for the API.
  • StudybotAPI/backend/core contains the code for configuring environment variables and custom logging.
  • StudybotAPI/backend/schema contains the Pydantic models for the API.
  • StudybotAPI/backend/utils contains the utility functions for the API.
  • StudybotAPI/backend/ingestion contains the code for ingesting data from the database.
  • StudybotAPI/backend/retriever contains the code for retrieval of the answer from the database.

Start development server

Run the following command:

cd StudybotAPI
uvicorn app:app --reload

Now go to http://127.0.0.1:8000 to access Swagger UI.

Frontend (Streamlit)

Installation

pip install -r requirements.txt

Folder Structure

  • frontend/components/* contains the code for the components of the frontend.
  • frontend/images/* contains the images used in the frontend.
  • frontend/🏡_home.py contains the code for the homepage of the frontend.
  • frontend/layouts/* contains the code for the layouts of the frontend.
  • frontend/pages/* contains the code for the pages of the frontend.

Start development server

Run the following command:

cd frontend
streamlit run '🏡_home.py'

Now go to http://localhost:8501 and start chatting with your bot! The bot will automatically reload when you change the code.

How to use

Input the question in the text box and press enter. The bot will give you the answer. If you want to ask another question, just enter the question and the bot will try to answer.

Screenshots

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How it works

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Tech Stack

Python FastAPI Langchain Streamlit Docker HuggingFace