Installing Dependencies and Running the Streamlit App

This guide walks you through setting up the environment and running the Streamlit object detection app:

1. Create a Virtual Environment (Recommended):

A virtual environment isolates project dependencies, preventing conflicts with other Python installations. Use the venv module:

Bash

python3 -m venv my_env

Activate the virtual environment:

Bash

` source my_env/bin/activate

2. Install Required Packages:

Once your virtual environment is activated, install the necessary packages using pip:

Bash

pip install torch torchvision pandas opencv-python streamlit

3. Run the Streamlit App (Optional, Assuming You Have app.py):

If you have a Streamlit app script named app.py in your project directory, you can run it directly:

Bash

streamlit run app.py `

This will launch the Streamlit app in your web browser, typically at http://localhost:8501.