Update README.md

README.md

 # LearnJoy-ML
 
-Machine Learning Model for Learnjoy app
+Machine Learning Model for Learnjoy app
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+
+
+# LearnJoy-ML
+
+## Table of Contents
+1. [Function 1 Development](/Function1)
+2. [FastAPI Development](#fastapi-development-folder)
+3. [Setting Up the Development Environment](#setting-up-the-development-environment)
+
+------------------
+## FastAPI Development ([Folder](/API))
+### Setting Up and Running the API
+
+- To run the API, please ensure you have installed the required packages, "fastapi" and "uvicorn." If you haven't already installed them, you can do so using the following commands:
+
+  ```bash
+  pip install fastapi
+  pip install "uvicorn[standard]"
+  ```
+
+- Once these packages are installed, you can proceed to run the API.
+
+1. To run the api, use the following command inside the API folder:
+
+   ```bash
+   python main.py
+   ```
+
+2. You can access the project output in your browser using the following URL:
+
+   ```bash
+   http://127.0.0.1:8000
+   ```
+3. To explore the API documentation, visit:
+
+   ```bash
+   http://127.0.0.1:8000/docs
+   ```
+
+------------------------
+
+## Setting Up the Development Environment
+
+Follow these steps to set up your development environment for this project:
+
+### Create a New `venv`
+
+1. Navigate to your project directory:
+
+   ```bash
+   cd /path/to/your/project
+   ```
+
+2. Create a virtual environment:
+
+   ```bash
+   python -m venv <venv_name>
+   ```
+
+### Activate and Deactivate `venv`
+
+- In `cmd`:
+
+   ```bash
+   <venv_name>\Scripts\activate
+   ```
+
+- In bash:
+
+   ```bash
+   source <venv_name>/Scripts/activate
+
+   # To deactivate the virtual environment:
+   deactivate
+   ```
+
+### Create, Activate & Deactivate `venv` using conda
+
+- Use Anaconda Navigator to create a venv:
+
+   ```bash
+   # Activate the conda environment
+   conda activate <venv_name>
+
+   # To deactivate the conda environment
+   conda deactivate
+   ```
+
+### Install the Dependencies
+
+- You can also use a `requirements.txt` file to manage your project's dependencies. This file lists all the required packages and their versions.
+1. Install packages from `requirements.txt`:
+
+   ```
+   pip install -r requirements.txt
+   ```
+    This ensures that your development environment matches the exact package versions specified in `requirements.txt`.
+
+2. Verify installed packages:
+
+   ```bash
+   pip list
+   ```
+    This will display a list of packages currently installed in your virtual environment, including the ones from `requirements.txt`.
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