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Simple Streamlit Project

Introduction

Welcome to my first Streamlit Project, a suite of 3 simple applications developed using Python. This project demonstrates the versatility and capability of Streamlit in deploying interactive web applications. The applications included in this project are:

  1. Word Correction: A spelling correction tool that utilizes the Levenshtein distance algorithm to find and correct misspelled words by suggesting the closest match from a pre-defined dictionary.
  2. Object Detection: An application that uses a Deep Neural Network (DNN) model from the OpenCV library to detect and highlight objects in images.
  3. A simple Chatbot: A simple yet effective chatbot built using HugChat, designed to provide interactive conversations and assist users with various queries.

How to Intall

  1. Clone the repository:

     git clone https://github.com/hannguyen2880/streamlit-project.git
 cd streamlit-project

  2. (Optional) Create and activate a virtual environment:

    For macOS and Linux:

    python3 -m venv .venv
source .venv/bin/activate

    For Windows:

    python -m venv .venv
.venv\Scripts\activate

  3. Intall the required dependencies:

     pip install -r requirements.txt

Running the Application

Once everything is ready, you can launch the application by running one of the following commands based on the application you want to start:

  1. Correct Word:

    streamlit run src/levelshtein_distance.py

  2. Object Detection:

    streamlit run src/object-detection.py

  3. Chatbot:

    streamlit run src/chatbot.py