Project Setup Guide

This guide will walk you through installing Python dependencies, creating a virtual environment, and running the project.

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1️⃣ Prerequisites

Before starting, ensure you have:

• Python 3.8+ (Download here)
• pip (comes with Python)
• virtualenv (optional but recommended)

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2️⃣ Create and Activate a Virtual Environment

Navigate to your project directory:

cd path/to/your/project
Create a virtual environment named venv:

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python -m venv venv
Activate the environment:

Windows:

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venv\Scripts\activate
macOS / Linux:

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source venv/bin/activate
When activated, (venv) will appear before your terminal prompt.

Install Required dependencies from requirements.txt

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pip install streamlit tensorflow numpy pillow
Optional: Save them to requirements.txt for easier installation later:

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pip freeze > requirements.txt
To install from requirements.txt:

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pip install -r requirements.txt
4️⃣ Verify Installation
Check installed packages:

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pip list
5️⃣ Run the Streamlit Application
If your main file is app.py, run:

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streamlit run app.py
6️⃣ Deactivate the Virtual Environment
When finished, deactivate the environment:

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deactivate
✅ Your setup is complete! You can now start developing and running your project.

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